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Call for Papers - 13th HiPC Student Research Symposium (SRS)
by Sanmukh Kuppannagari 31 Aug '21

31 Aug '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** 13th HiPC Student Research Symposium (SRS) www.hipc.org/srs in conjunction with the 28th INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, and ANALYTICS (HIPC 2021) December 17-20, 2021 | Virtual Event, INDIA | www.hipc.org OVERVIEW HiPC 2021 will feature the 13th Student Research Symposium on High Performance Computing, Data, and Analytics (HPC) aimed at stimulating and fostering student research, and providing an international forum to highlight student research accomplishments. The symposium will also provide exposure to students in the best practices in HPC in academia and industry. The symposium will feature student posters and provide students with other enriching experiences, such as workshops, industry exhibits, and demos. The Conference Reception and multiple Student Symposium Poster Exhibit sessions will provide an opportunity for students to interact with HPC researchers and practitioners (and recruiters) from academia and industry. Awards for Best Poster, sponsored by IEEE Computer Society – Technical Committee on Parallel Processing (TCPP) – will be presented at the symposium. An online book containing the resumes of the students participating in the symposium will be compiled and made available to the sponsors of the HiPC 2021 conference. TOPICS Papers are solicited in all areas of high-performance computing, data, and analytics, including but not limited to topics mentioned below. High-Performance Computing Algorithms: This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): - New parallel and distributed algorithms and design techniques; - Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); - Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models); - Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); and - Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management). Architectures: This track invites papers that describe original research on the design and evaluation of high-performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): - Design and evaluation of high-performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors); - Design and evaluation of networks for high-performance computing platforms (e.g., interconnect topologies, network-on-chip); - Design and evaluation of memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); - Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); and - Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications: This track invites papers that describe original research on the design and implementation of scalable applications for execution on parallel and distributed platforms, and related advances. Examples of topics of interest include (but not limited to): - Design and implementation of shared and distributed memory parallel applications (e.g., scientific computing and industry applications, emerging applications in IoT and life sciences – biology, medicine, chemistry, etc.); - Design and simulation methodologies for scaling applications on peta and exascale platforms (e.g., co-design approaches, hardware/software co-design, heterogeneous and hybrid programming); - Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU clusters, FPGA, vector processors, manycore); and - Design of application benchmarks for parallel and distributed platforms. Systems Software: This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high-performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): - Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services); - Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); - Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); - Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; - Software for the cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); and - Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). Data Science Scalable Algorithms and Analytics: This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): - New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); - Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); - Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); - Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); and - Scalable algorithms that ensure the transparency and fairness of the analysis. Scalable Systems and Software: This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to): - Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications); - Design of scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs); - Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); - Design and implementation of systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); and - Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes). IMPORTANT DATES Aug 19, 2021 > Submission Opens Sep 17, 2021 > Submission Deadline Nov 1, 2021 > Accept/Reject Decision Notification Dec 17-20, 2021 > Symposium ELIGIBILITY Submissions should have at least one author who is a student during any part of the calendar year 2021. Submissions may have multiple student or non-student co-authors. Submissions must mark student authors with an asterisk (*). SUBMISSION INSTRUCTIONS In order to be considered for a poster at the Student Research Symposium, authors must submit papers/extended abstracts, not exceeding five (5) letter size (8.5in x 11in) pages, in 11 or 12 point font, single-spaced, with 1'' margins on all sides. Papers are to be submitted online in PDF format through Easychair at: https://easychair.org/conferences/?conf=hipc2021 The papers will be used to select posters, but will NOT be published in the conference proceedings. This will provide students the flexibility to publish an extended version of their paper at other venues, after benefiting from reviewer feedback from the symposium. Papers submitted to the symposium are expected to be reviewed by at least three independent reviewers. Papers will be judged on technical merit, quality, relevance to the symposium, and related parameters. Plagiarism, in any form, especially verbatim reproduction from other published works, is prohibited. Papers that are plagiarized will be rejected, and the corresponding department and institution will be notified. Facilities for displaying posters will be made available, and the exact specifications of the poster size will be provided later. At least one student author of each paper that is accepted must register and attend the conference to present their work. Papers with no-shows will be retroactively rejected. SYMPOSIUM CO-CHAIRS Ashok Srinivasan, University of West Florida, USA Dip Sankar Banerjee, IIT Jodhpur, India CONTACT Contact student_symposium at hipc dot org for more details.

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Call for Participation - International Conference on Logic Programming (ICLP 2021)
by Miguel Areias 30 Aug '21

30 Aug '21

========================================================================= CALL FOR PARTICIPATION ========================================================================= The 37th International Conference on Logic Programming (ICLP 2021) https://iclp2021.dcc.fc.up.pt/ ========================================================================= The virtual edition of ICLP 2021 will run from September 20 until September 27, 2021. The conference will be held online and we strongly encourage all interested people to register to access the event and interact with other participants. The registration conditions are available at https://iclp2021.dcc.fc.up.pt/index.html#registration The main program is available at https://iclp2021.dcc.fc.up.pt/index-program.html This year's edition includes five outstanding talks by William Cohen (Google AI), John Hooker (CMU), Phokion Kolaitis (UC Santa Cruz and IBM Almaden), Stuart Russell (UC Berkeley) and Jeff Ullman (Stanford University) https://iclp2021.dcc.fc.up.pt/index.html#keynotes and eight affiliated events https://iclp2021.dcc.fc.up.pt/index.html#affiliatedevents Looking forward to meet you in the ICLP 2021 virtual conference. Miguel Areias (on behalf of ICLP 2021 Chairs). ========================================================================= Any additional question can be directed towards ICLP 2021 Chairs: iclp2021(a)easychair.org =========================================================================

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Deadline Extension ScalA@SC: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems - Papers due September 19
by Engelmann, Christian 28 Aug '21

28 Aug '21

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA21: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC21: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) November 19, 2021, St. Louis, MO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2021> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Submission Guidelines --------------------- Authors are invited to submit manuscripts in English structured as technical papers at a length of at least 6 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers should be submitted electronically at <https://submissions.supercomputing.org>. All manuscripts will be peer-reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Accepted papers will be published with the IEEE Computer Society as part of the SC21 workshop proceedings in the IEEE Xplore Digital Library. At least one author of an accepted paper must register for and present the paper at the workshop. Authors may contact the workshop program chair, Christian Engelmann at engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov>, for more information. Transparency and Reproducibility Initiative ------------------------------------------- As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA20 invites authors of technical papers to submit optional appendix information that can promote better reproducibility of computational results. Authors are highly encouraged to provide a 2-page Artifact Description Appendix, which will not count toward the page limit of the submission. Notes: - A paper cannot be disqualified based on information provided or not provided in this appendix, nor if the appendix is not available. - The availability and quality of an appendix can be used in ranking a paper. In particular, if two papers are of similar quality, the existence and quality of the appendices can be part of the evaluation process. - Appendices should not be used to circumvent the page limit. Further information about the SC Transparency and Reproducibility Initiative can be found at <https://sc21.supercomputing.org/submit/transparency-reproducibility-initiat…>. Important Web Sites ------------------- - ScalA21 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2021> - ScalA21 Submissions: <https://submissions.supercomputing.org> - SC21 website: <http://sc21.supercomputing.org/> Important Dates --------------- - Full paper submission: September 19, 2021 - Notification of acceptance: October 1, 2021 - IEEE e-Copyright submission (firm): October 7, 2021 - Final paper submission (firm): October 11, 2021 - Workshop/conference early registration: October 15, 2021 - Workshop: 8:30am - 12pm CST, November 19, 2021 Topics of interest include, but are not limited to: --------------------------------------------------- - Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale, including Data Science approaches in dealing with Big Data - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2023) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience (including ones enabling Big Data processing) Workshop Chairs --------------- - Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair ---------------------- - Christian Engelmann, Oak Ridge National Laboratory, USA Contact at engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov> Program Committee ----------------- - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Marco Berghoff, Karlsruhe Institute of Technology, Germany - Hans-Joachim Bungartz, Technical University of Munich, Germany - Florina M. Ciorba, University of Basel, Switzerland - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Yasuhiro Idomura, Japan Atomic Energy Agency, Japan - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Paul Lin, Lawrence Berkeley National Laboratory, USA - Kengo Nakajima, RIKEN, Japan - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Valerie Taylor, Argonne National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. Senior Scientist & Group Leader Intelligent Systems and Facilities Group Advanced Computing Systems Research Section Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info

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HiPar21@SC21: Call For Participation - Submit by August 30th!
by Francesco Rizzi 24 Aug '21

24 Aug '21

``` *************************************************************************** CALL FOR PARTICIPATION 2nd Workshop on Hierarchical Parallelism for Exascale Computing ---HiPar21--- Sunday, Nov. 14th Held in conjunction with SC21, Nov. 14-19 2021, St. Louis, USA In cooperation with: IEEE and TCHPC. www.hipar.net *************************************************************************** ================================ Summary ================================ High Performance Computing (HPC) platforms are evolving towards having fewer but more powerful nodes, driven by the increasing number of physical cores in multiple sockets and accelerators. The boundary between nodes and networks is starting to blur, with some nodes now containing tens of compute elements and memory sub-systems connected via a memory fabric. The immediate consequence is an increase in complexity due to ever more complex architectures (e.g., memory hierarchies), novel accelerator designs, and energy constraints. Spurred largely by this trend, hierarchical parallelism is gaining momentum. This approach embraces, rather than avoiding, the intrinsic complexity of current and future HPC systems by exploiting parallelism at all levels: compute, memory and network. This workshop focuses on hierarchical parallelism. It aims to bring together application, hardware, and software practitioners proposing new strategies to fully exploit computational hierarchies, and examples to illustrate their benefits to achieve extreme scale parallelism. ================================ Scope and Aims ================================ HiPar21 welcomes HPC practitioners from all areas, ranging from hardware and compiler experts to algorithms and software developers, to present and discuss new studies, approaches, and cutting-edge ideas to utilize multi-level parallelism for extreme scale computing. We welcome contributions from the HPC community addressing the use of emerging architectures, focusing particularly on those characterized by fewer but more powerful nodes as well as systems with hierarchical network with tiered communication semantics. Specifically, the emphasis is on the design, implementation, and application of programming models for multi-level parallelism, including abstractions for hierarchical memory access, heterogeneity, multi-threading, vectorization, and energy efficiency, as well as scalability and performance studies thereof. Of particular interest are models addressing these concerns portably: providing ease of programming and maintaining performance in the presence of varied accelerators, hardware configurations, and execution models. Studies that explore the merits of specific approaches to addressing these concerns, such as generic programming or domain specific languages, are also in scope. The workshop is not limited to the traditional HPC software community. As one example, another key topic is the use of hierarchical parallelism in dealing with the challenges arising in machine learning due to the growing importance of this field, the large scale of systems tackled in that area, and the increasing interest from more traditional HPC areas. Finally, we remark that a key goal of HiPar21 is to highlight not just success stories. We welcome contributions that provide compelling results and discussions on the hardest challenges to overcome leading to exascale, the role hierarchical parallelism can play in them, as well as relevant drawbacks. ================================ Topics ================================ Submissions are encouraged in, but not limited to the following areas: * Hardware, software, and algorithmic advances for efficient use of memory hierarchies, multi-threading and vectorization; * Efficient use of nested parallelism, for example CUDA dynamic parallelism, for large scale simulations; * Hierarchical work scheduling and execution; * Programming heterogeneous nodes; * Leading-edge programming models, for example fully distributed task-based models and hybrid MPI+X, with X representing shared memory parallelism via threads, vectorization, tasking or parallel loop constructs. * Implementations of algorithms that are natural fits for nested work (for example approaches that use recursion); * Challenges and successes in managing computing hierarchies; * Examples demonstrating effective use of the combination of inter-node and intra-node parallelism; * Novel approaches leveraging asynchronous execution to maximize efficiency; * Challenges and successes of porting of existing applications to many-core and heterogeneous platforms; * Recent developments in compiler optimizations for emerging architectures; * Applications of hierarchical programming models from emerging AI fields, for example deep learning and extreme-scale data analytics. ================================ Papers Submission Guidelines ================================ We solicit papers submissions in the following categories: (a) Regular research papers: Intended for submissions describing original work and ideas that have NOT appeared in another conference or journal, and are NOT currently under review for any other conference or journal. Regular papers must be at least (6) and must not exceed (10) letter size pages (U.S. letter – 8.5"x11"). Accepted regular papers will be published in the workshop proceedings in cooperation with IEEE TCHPC. (b) Short papers: Intended for material that is not mature enough for a full paper, to present novel, interesting ideas or preliminary results that will be formally submitted elsewhere. Short papers must not exceed four (4) pages. Short papers will NOT be included in the proceedings. Please note that: - The page limits above only apply to the core text, content-related appendices, and figures. References and reproducibility appendix do not count against the page limit. - When deciding between submissions with comparable evaluations, priority will be given to those with higher quality of presentation and whose focus relates more directly to the workshop themes. - Papers and must be submitted electronically at https://submissions.supercomputing.org/ and must follow the IEEE format: www.ieee.org/conferences/publishing/templates.html ==================================================== !!New concept!!: Algorithm Brainstorming Session ==================================================== Are you working on code/algorithms and would like to see if and how it can benefit from a hierarchical approach? Or exploring state-of-the-art hierarchical approaches and leading edge programming models and desire feedback about how to approach such problems in practice? This new idea we are proposing might be of interest to you! We invite practitioners at all levels (especially encouraging participation from junior scholars) to submit a one-page summary describing an algorithm of their interest that is NOT already exploiting hierarchical parallelism and they would like to improve/change. We will select a subset of these submissions and, on the workshop day, we will host parallel breakout sessions moderated by experts in the field, to guide the brainstorming discussions on if/how one can exploit hierarchical parallelism to improve them. The submission must be 1 page and should address (at a high-level) these sections: motivation/application, core algorithm, desired scale of execution, and current bottlenecks (if any). The single page limit only applies to the core text: figures, references, and appendices do not count against the page limit. Please note that: - We will prioritize submissions by junior people. We believe this would be most beneficial as a way of allowing more experienced engineers and researchers to share their experience and approaches to solving this sort of problem. - We expect each submission to present code/algorithms that are relevant to the person/group submitting it. For example, if you are a researcher working on CFD, we expect your submission to be related to *your* code and computational issues, not on a different group's or commercial code. - We envision holding two or three parallel sessions. Each session will be approximately 45/60 mins: 10/15 mins for the author to present the algorithm and motivation, followed by the discussion until the time ends. However, we reserve to expand the number of sessions if we receive a substantial number of submissions/interest. ================================ Reproducibility Initiative ================================ HiPar21 follows the SC21 reproducibility and transparency initiative. The SC21 details can be found at: https://sc21.supercomputing.org/submit/reproducibility-initiative. HiPar21 requires all submission to include an Artifact Description (AD) Appendix. Note that the AD will be auto-generated from the author's responses to a form embedded in the online submission system. The Artifact Evaluation (AE) remains optional. We also encourage authors to follow the transparency initiative for two reasons: (a) it helps the authors themselves with the actual writing and structuring of the paper to express the research process; (b) it helps reviewers and readers to understand the thinking process used by the authors to plan, obtain and explain their results. ================================ Important dates ================================ Submission Deadline: August 30th, 2021 (AoE) Author Notification: September 13, 2021 Camera Ready: October 4, 2021 Final Program: October 9, 2021 Workshop Date: Sunday, Nov. 14th Note that SC21 is currently planning to host the conference in person, but to also include a virtual platform to support remote attendance and to enhance the in-person activities. However, at this time the virtual platform support is still unknown, and we want to explicitly state that there is always the possibility of SC21 becoming fully virtual. Therefore, please refer to the our workshop and SC21 websites for the latest information. ================================ Chairs and Committees ================================ Workshop chair: - Francesco Rizzi NexGen Analytics Organizing Committee: - Daisy Hollman Google - Lee Howes Facebook - Xiaoye Sherry Li Lawrence Berkeley National Lab Program Committee Chairs: - Christian Trott Sandia National Labs - Filippo Spiga NVIDIA Program Committee: - Mark Bull EPCC - Irina Demeshko LANL - Marta Garcia Gasulla BSC - Anja Gerbes TU Dresden - Mark Hoemmen Stellar Science - Toshiyuki Imamura RIKEN - Guido Juckeland Helmholtz Center - Hartmut Kaiser LSU - Vivek Kale Brookhaven Labs - Jonathan Lifflander Sandia National Labs - James Lin Shanghai J.Tong Univ. - Nicholas Malaya AMD - Aram Markosyan Xilinx - Rui Oliveira INESC TEC - Philippe Pebay NexGen Analytics - Zhiqi Tao Intel - Flavio Vella Univ. of Bozen - Michèle Weiland EPCC - Jeremiah Wilke Google ================================ Contact information: ================================ For questions, please email us at: hiparws(a)gmail.com ```

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Call for Submissions: WHPC workshop at SC'21-- in person and virtual participation
by Mariam Umar 19 Aug '21

19 Aug '21

SC21: WHPC Workshop - Call for lightning talks Call for lightning talks: DEADLINE FOR SUBMISSIONS: September 8th, 2021 AOE **Women in HPC at SC21: Diversifying the HPC Community and Engaging Male Allies** Sunday, 14th November, 9AM – 5:30PM CST Call for Participation The 12th annual international Women in HPC workshop will be held in conjunction with the Supercomputing conference (SC21), at St. Louis, MO, USA. Once again Women in HPC, our advocates, allies, supporters, and anyone interested in improving diversity across the HPC community is welcome to join us to discuss the challenges the community faces. Activities will bring together women and male allies from across the international HPC and extended community, provide opportunities to network, showcase the work of inspiring women, and discuss how we can all work towards improving the under-representation of women in supercomputing. Previous Women in HPC workshops at SC have been great successes, with over 150 attendees in the past year, and many submissions from early/mid-career women in the past two years. As part of the workshop, we invite submissions from women to present their research in the HPC, AI, ML domain to the HPC community as a short/lightning talk. This is a great opportunity to interact with leading experts and employers across the HPC community from both academia and industry and discuss your work with them. We encourage women who are in their ‘early career’ (i.e. pursuing a graduate degree or within five years of graduation) to participate, however this opportunity is open to help everyone who feels they may benefit from presenting their work, irrespective of career stage. Each submission will be reviewed by a committee and authors shall receive 2-4 sets of review comments as feedback along with instructions needed to prepare for the talk and associate materials prior to the workshop. Submissions for the talks are comprised of a two-page submission with preliminary results, in any areas including but not limited to: - High performance computing - Data science - Machine learning/AI - Big data - Languages and runtimes - Algorithms Authors will be expected to give a short lightning talk (5 minutes) at the workshop. Benefit of Participating: - Networking: build your HPC network, meet peers and potential employers - Advice and mentoring: Receive expert advice and mentorship to help prepare for your presentation, including slides, how to structure a lightning talk for effective communication and how to make the most of the networking time afterwards. Submission All submitted abstracts should emphasize the computational aspects of the work, such as the facilities used, the challenges that HPC, ML/AI can help address and any additional research highlights etc. As an author you will have the opportunity to share your work with the workshop audience in a brief ‘elevator pitch’ talk. Depending on whether the SC workshops are held in person or in a hybrid capacity this year, if accepted, those participants attending in person will have the opportunity to present a short 5-6 minute talk. Those participants attending the workshop virtually will be asked to submit a 5-6 minute video presentation ahead of time, which will be shown during the lightning talk session. Detailed instructions on how to prepare the video will be provided at a later time. To submit your extended abstract (2 page) please prepare the following and submit via the SC21 Linklings submission site <http://submissions.supercomputing.org/> – make sure your choose ‘SC21 Workshop: Women in HPC’: 1. Author/presenter information (For all authors): 1. first and last name 2. Current institution(s) 3. short biography (max 300 words) 4. company/institution 5. photograph for website publicity. 2. Lightning talk information - Title - Two-page submission with extended abstract (up to 500 words) and preliminary results Please use the standard fonts/formatting in the ACM conference proceedings template (https://www.acm.org/publications/proceedings-template). Submissions should be a maximum of two (2) pages, not including references. Important Dates - Submission Deadline: September 8th, 2021 - Notification of acceptance: October 1st, 2021 - Camera Ready: October 7th, 2021 If you have questions please contact Mariam Umar mariam.umar(a)intel.com, or Rey Wang ruinwang(a)amazon.com. -Mariam

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Invitation to join 2021 Summer 'Programming short course and workshop on Deep Learning and Computer Vision', 25-27th August 2021
by Ioanna Koroni 19 Aug '21

19 Aug '21

Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in the CVML e-course on 'Programming short course and workshop on Deep Learning and Computer Vision', 25-27th August 2021: http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ It will take place as a three-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures and workshops delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills. You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics. This course is part of the very successful CVML programming short course and workshop series that took place in the last four years. Course description 'Programming short course and workshop on Deep Learning and Computer Vision' The programming short course and workshop e-course consists of 16 1-hour live lectures & workshops organized in two Parts (1 Part per day): Part A will focus on Deep Learning and GPU programming. Part B lectures will focus on deep learning algorithms for computer vision, namely on 2D object/face detection and 2D object tracking. Part C lectures will focus on autonomous UAV cinematography. Before mission execution, it is best simulated, using drone mission simulation tools. Course lectures Part A (8 hours), Deep Learning and GPU programming Deep neural networks. Convolutional NNs. Deep learning for target detection. Image classification with CNNs. Target detection with PyTorch. Part B (8 hours), Deep Learning for Computer Vision Deep learning for object/face detection. 2D object tracking. PyTorch: Understand the core functionalities of an object detector. Training and deployment. OpenCV programming for object tracking. Part C (8 hours), Autonomous UAV cinematography Video summarization. UAV cinematography. Video summarization with Pytorch. Drone cinematography with Airsim. You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein. For questions, please contact: Ioanna Koroni <koroniioanna(a)csd.auth.gr <mailto:koroniioanna@csd.auth.gr> > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/ 5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 6) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai gn=sig-email&utm_content=emailclient&utm_term=icon> Virus-free. <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai gn=sig-email&utm_content=emailclient&utm_term=link> www.avast.com -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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ScalA@SC: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems - Papers due August 27
by Engelmann, Christian 16 Aug '21

16 Aug '21

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA21: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC21: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) November 19, 2021, St. Louis, MO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2021> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Submission Guidelines --------------------- Authors are invited to submit manuscripts in English structured as technical papers at a length of at least 6 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers should be submitted electronically at <https://submissions.supercomputing.org>. All manuscripts will be peer-reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Accepted papers will be published with the IEEE Computer Society as part of the SC21 workshop proceedings in the IEEE Xplore Digital Library. At least one author of an accepted paper must register for and present the paper at the workshop. Authors may contact the workshop program chair, Christian Engelmann at engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov>, for more information. Transparency and Reproducibility Initiative ------------------------------------------- As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA20 invites authors of technical papers to submit optional appendix information that can promote better reproducibility of computational results. Authors are highly encouraged to provide a 2-page Artifact Description Appendix, which will not count toward the page limit of the submission. Notes: - A paper cannot be disqualified based on information provided or not provided in this appendix, nor if the appendix is not available. - The availability and quality of an appendix can be used in ranking a paper. In particular, if two papers are of similar quality, the existence and quality of the appendices can be part of the evaluation process. - Appendices should not be used to circumvent the page limit. Further information about the SC Transparency and Reproducibility Initiative can be found at <https://sc21.supercomputing.org/submit/transparency-reproducibility-initiat…>. Important Web Sites ------------------- - ScalA21 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2021> - ScalA21 Submissions: <https://submissions.supercomputing.org> - SC21 website: <http://sc21.supercomputing.org/> Important Dates --------------- - Full paper submission: August 27, 2021 - Notification of acceptance: September 27, 2021 - IEEE e-Copyright submission (firm): October 7, 2021 - Final paper submission (firm): October 11, 2021 - Workshop/conference early registration: October 15, 2021 - Workshop: 8:30am - 12pm CST, November 19, 2021 Topics of interest include, but are not limited to: --------------------------------------------------- - Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale, including Data Science approaches in dealing with Big Data - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2023) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience (including ones enabling Big Data processing) Workshop Chairs --------------- - Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair ---------------------- - Christian Engelmann, Oak Ridge National Laboratory, USA Contact at engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov> Program Committee ----------------- - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Marco Berghoff, Karlsruhe Institute of Technology, Germany - Hans-Joachim Bungartz, Technical University of Munich, Germany - Florina M. Ciorba, University of Basel, Switzerland - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Yasuhiro Idomura, Japan Atomic Energy Agency, Japan - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Paul Lin, Lawrence Berkeley National Laboratory, USA - Kengo Nakajima, RIKEN, Japan - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Valerie Taylor, Argonne National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. Senior Scientist & Group Leader Intelligent Systems and Facilities Group Advanced Computing Systems Research Section Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info

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[Bench'21 CFP Deadline - August 6, 2021, 23:59:59 AoE] - 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing)
by haotianshu＠ict.ac.cn 06 Aug '21

06 Aug '21

[Apologies if you receive multiple copies of this CFP] CALL FOR PAPERS ========================================================== 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'21) http://www.benchcouncil.org/bench21/index.html New papers deadline: August 6, 2021, 23:59:59 AoE Conference date: Nov. 14th - Nov. 16th, 2021 (Virtual) Submission site: https://bench2021.hotcrp.com/ ========================================================== Introduction ---------------- Sponsored and organized by the International Open Benchmark Council (BenchCouncil), the Bench conference encompasses a wide range of topics in benchmarking, measurement, evaluation methods and tools. Bench’s multi-disciplinary emphasis provides an ideal environment for developers and researchers from the architecture, system, algorithm, and application communities to discuss practical and theoretical work covering workload characterization, benchmarks and tools, evaluation, measurement and optimization, and dataset generation. Bench’21 conference invites manuscripts describing original work in the area of benchmarking, evaluation methods and tools in Big Data, Artifical Intelligence, High-Performance Computing and Computing Architectures (Call for Papers) . All accepted papers will be presented at the Bench’21 conference and will be published in a special issue of the BenchCouncil Transactions on Benchmarks, Standards and Evaluation (TBench). Sponsored by BenchCouncil, Bench’21 conference will present numerous awards, including the BenchCouncil Achievement Award ($3000), the BenchCouncil Rising Star Award ($1000), the BenchCouncil Distinguished Doctoral Dissertation Award ($1000)，and the BenchCouncil Best Paper Award ($1000). To encourage reliable and reproducible research using the benchmarks from all organizations, the Bench conference presents the BenchCouncil Award for Excellence for Reproducible Research to the papers using publicly available benchmarks. Each article receives a $100 prize, for up to 12 articles. Call for papers ------------------------ We solicit papers describing original and previously unpublished research. Specific topics of interest include, but are not limited to, the following. **Benchmark and standard specifications, implementations, and validations: -Big Data, Artificial intelligence (AI), High performance computing (HPC), Machine learning, Warehouse-scale computing, Mobile robotics, Edge and fog computing, Internet of Things (IoT), Blockchain, Data management and storage, Financial, Education, Medical or other application domains. **Dataset Generation and Analysis: -Research or industry data sets, including the methods used to collect the data and technical analyses supporting the quality of the measurements; Analyses or meta-analyses of existing data and original articles on systems, technologies and techniques that advance data sharing and reuse to support reproducible research; Evaluations of the rigor and quality of the experiments used to generate data and the completeness of the descriptions of the data; Tools generating large-scale data. **Workload characterization, quantitative measurement, design and evaluation studies: -Characterization and evaluation of Computer and communication networks, protocols and algorithms; Wireless, mobile, ad-hoc and sensor networks, IoT applications; Computer architectures, hardware accelerators, multi-core processors, memory systems and storage networks; HPC systems; Operating systems, file systems and databases; Virtualization, data centers, distributed and cloud computing, fog and edge computing; Mobile and personal computing systems; Energy-efficient computing systems; Real-time and fault-tolerant systems; Security and privacy of computing and networked systems; Software systems and services, and enterprise applications; Social networks, multimedia systems, web services; Cyber-physical systems. **Methodologies, abstractions, metrics, algorithms and tools: -Analytical modeling techniques and model validation; Workload characterization and benchmarking; Performance, scalability, power and reliability analysis; Sustainability analysis and power management; System measurement, performance monitoring and forecasting; Anomaly detection, problem diagnosis and troubleshooting; Capacity planning, resource allocation, run time management and scheduling; Experimental design, statistical analysis and simulation. Measurement and evaluation: -Evaluation methodologies and metrics; Testbed methodologies and systems; Instrumentation, sampling, tracing and profiling of large-scale, real-world applications and systems; Collection and analysis of measurement data that yield new insights; Measurement-based modeling (e.g., workloads, scaling behavior, assessment of performance bottlenecks); Methods and tools to monitor and visualize measurement and evaluation data; Systems and algorithms that build on measurement-based findings; Advances in data collection, analysis and storage (e.g., anonymization, querying, sharing); Reappraisal of previous empirical measurements and measurement-based conclusions; Descriptions of challenges and future directions that the measurement and evaluation community should pursue. Important Dates ------------------------ Submission website: https://bench2021.hotcrp.com/ -Abstract registration: August 6, 2021 -Full Papers: August 6, 2021 -Notification: September 15, 2021 -Final Papers Due: October 11, 2021 Paper Submission ------------------------ The reviewing process is double-blind. Upon acceptance, papers will be scheduled for publication in the BenchCouncil Transactions on Benchmarks, Standards, and Evaluation (TBench) and presentation at the Bench'21 conference. All accepted and eligible papers will be considered, by a panel of reviewers, for the BenchCouncil Best Paper Award and the BenchCouncil Award for Excellence for Reproducible Research. Papers must be submitted in PDF. For a full paper, the page limit is 12 double column pages in TBench format (All research article page limits do not include references and author biographies). For a short paper, the page limit is 8 double column pages in TBench format, not including references and author biographies. The submissions will be judged based on the merit of the ideas rather than the length. We only wish to publish papers of significant scientific content. Very short papers (of fewer than 4 pages) may be moved to the back matter. Such papers will neither be available for indexing nor visible as individual papers on SpringerLink. They will, however, be listed in the Table of Contents. Submission site: https://bench2021.hotcrp.com/ TBench Latex template: http://mirrors.ctan.org/macros/latex/contrib/els-cas-templates.zip Awards --------------------- * BenchCouncil Achievement Award ($3,000) - This award recognizes a senior member who has made long-term contributions to benchmarking, measuring, and optimizing. The winner is eligible for the status of a BenchCouncil Fellow. * BenchCouncil Rising Star Award ($1,000) - This award recognizes a junior member who demonstrates outstanding potential for research and practice in benchmarking, measuring, and optimizing. * BenchCouncil Best Paper Award ($1,000) - This award recognizes a paper presented at the Bench conferences, which demonstrates potential impact on research and practice in benchmarking, measuring, and optimizing. * BenchCouncil Distinguished Doctoral Dissertation Award ($1000) - This award recognizes and encourages superior research and writing by doctoral candidates in the broad field of benchmarks, data, standards, evaluations, and optimizations community. * BenchCouncil Award for Excellence for Reproduceable Research (Each winning paper earns a $100 prize, maximally up to 12 papers). - BenchCouncil incubates and hosts benchmark projects, and further encourages reliable and reproducible research using the benchmarks from BenchCouncil or other organizations. To this end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers using all publicly available benchmarks. Organization ----------------- General Chairs Resit Sendag, University of Rhode Island, USA Arne J. Berre, SINTEF Digital, Norway Program Chairs Lei Wang, ICT, Chinese Academy of Sciences, China Axel Ngonga, Paderborn University, Germany Chen Liu, Clarkson University, USA Special Session Chair Xiaoyi Lu, The University of California, Merced, USA Publications Chair Chunjie Luo, ICT, Chinese Academy of Sciences, China Registration Chair Fanda Fan, Chinese Academy of Sciences, China Technical Support Chair Ke Liu, Chinese Academy of Sciences, China Publicity Chairs Chen Zheng, Institute of Software, Chinese Academy of Sciences, China Zhen Jia, Amazon, USA Biwei Xie, Institute of Computing Technology, Chinese Academy of Sciences, China Pengfei Chen, Sun Yat-sen University, China Roberto V. Zicari, Z-Inspection® Initiative， Yrkeshögskolan Arcada, Helsinki， Seoul National University, South Korea Web Chair Guoxin Kang, Chinese Academy of Sciences, China Bench Steering Committees Jack Dongarra, University of Tennessee Geoffrey Fox, Indiana University D. K. Panda, The Ohio State University Felix, Wolf, TU Darmstadt Xiaoyi Lu, University of California, Merced Wanling Gao, ICT, Chinese Academy of Sciences & UCAS Jianfeng Zhan, ICT, Chinese Academy of Sciences &BenchCouncil Technical Program Committee Ben Blamey, Uppsala University Bin Ren, William & Mary Biwei Xie, Institute of Computing Technology, Chinese Academic of Science Bo Wu, Colorado School of Mines Chen Zheng, Institute of software, Chinese Academy of Sciences David Bermbach, Technische Universität Berlin, Mobile Cloud Computing Research Group Feiyi Wang, Oak Ridge National Laboratory Gwangsun Kim, POSTECH Jianfeng Zhan, Institute of Computing Technology, Chinese Academy of Sciences K. Selçuk Candan, Arizona State University Khaled Ibrahim, Lawrence Berkeley National Laboratory Mai Zheng, Iowa State University Mario Marino, Leeds Beckett University Matthew Bachstein, University of Tennessee Miaoqing Huang, University of Arkansas Piotr Luszczek, University of Tennessee Rui Ren, Lenovo Research Ryan Grant, Sandia National Laboratories Sascha Hunold, TU Wien Shu Yin, ShanghaiTech University Todor Ivanov, Lead Consult Vladimir Getov, University of Westminster Wanling Gao, Institute of Computing Technology, Chinese Academy of Sciences Woongki Baek, UNIST Xiaokun Yang, University of Houston-Clear Lake Xiaoyi Lu, University of California, Merced Yu Chen, Binghamton University Yunyou Huang, Guangxi Normal University Zhen Jia, Amazon Zhihui Du, New Jersey Institute of Technology

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Job Openings: Research Assistant Professor (3 vacancies) at Hong Kong Baptist University
by COMP HKBU 05 Aug '21

05 Aug '21

The Department of Computer Science at Hong Kong Baptist University presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following positions. Research Assistant Professor in Computer Science (3 vacancies) (PR0166/19-20) The positions are created and funded as part of the strategic research development initiatives in the Department. The appointees will be provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and to undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a) Health Informatics and (b) Security and Privacy-aware Computing related applications. Initial appointment will be made on a fixed-term contract of two to three years. Re-appointment thereafter is subject to mutual agreement. For enquiry, please contact Dr William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk) More information about the Department can be found on its website at https://www.comp.hkbu.edu.hk <http://www.comp.hkbu.edu.hk/>. *Salary will be commensurate with qualifications and experience.* Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably *three* best ones out of their most recent publications/works. Those should also request *two* referees to send in confidential letters of reference, with PR number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the post advertised, and appointment will be made according to the terms and conditions then applicable at the time of offer. Closing date: *Review of applications is on-going until the positions are filled.* URL: http://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=540

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Call for Nominations: 2021 IEEE CS TCHPC ECR Award for Excellence in HPC
by Vladimir Getov 30 Jul '21

30 Jul '21

Call for Nominations: 2021 IEEE CS TCHPC Early Career Researchers Award for Excellence in High Performance Computing The IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing recognizes up to 3 individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of high-performance computing within 5 years of receiving their PhD degree as of January 01 of the year of the award. It is sponsored by the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) and its member Technical Committees: • Technical Committee on Parallel Processing (TCPP) • Technical Committee on Computer Communications (TCCC) • Technical Committee on Distributed Processing (TCDP) • Technical Committee on Cloud Computing (TCCLD) • Task Force on Rebooting Computing (TFRC) • Technical Committee on Computational Life Sciences (TCCLS) Nominations: A candidate must be nominated by member(s) of the community. An individual may nominate at most one candidate for this award. The nomination application must be submitted via email to tchpc-awards(a)computer.org as a single PDF file and should contain the following details: 1. Name/email of person making the nomination (self-nominations are not eligible). 2. Name/email of candidate for whom the award is recommended. 3. A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award. Note that since the award is for outstanding contributions, the statement and supporting letters should address what the contributions are and why they are both outstanding and significant. The nomination should also list the names and email of up to 3 persons who have provided letters supporting the nomination. 4. CV of the nominee. 5. Up to three letters of support from persons other than the nominator – these should be collected by the nominator and included in the nomination. Important Dates: • Nomination Deadline: August 15, 2021 • Results Notification: September 15, 2021 Award Selection Committee: • Yuichiro Ajima, Fujitsu Limited, Japan • Ivona Brandic, Vienna University of Technology, Austria • Vladimir Getov, University of Westminster, UK (Chair) • Hatem Ltaief, KAUST, Saudi Arabia • Catherine (Katie) Schuman, ORNL, USA • Dingwen Tao, Washington State University, USA • Pedro Valero-Lara, ORNL, USA Note that members of the selection committee cannot be nominators or provide support letters. Award & Presentation Note: Awardees will be presented a plaque and provided with complimentary IEEE and IEEE CS membership for one year. They will also be recognized by IEEE Computer Society and TCHPC websites, newsletters, and archives. The awards will be presented at the SC21 conference that will be held in St. Louis, MO, USA during November 14 – 19, 2021. Details of the conference can be found at http://sc21.supercomputing.org/. For more information, please send email to tchpc-awards(a)computer.org The University of Westminster is a charity and a company limited by guarantee. Registration number: 977818 England. Registered Office: 309 Regent Street, London W1B 2HW. This message and its attachments are private and confidential. If you have received this message in error, please notify the sender and remove it and its attachments from your system.

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ML and Optimisation postdoc vacancies
by Uwe Aickelin 26 Jul '21

26 Jul '21

If you are looking for a Machine Learning / Optimisation postdoc, we have two exciting jobs for you. Please check below positions RF 4 (machine learning / optimisation) and RF 5 (uncertainty handling). You will work with a top team on a super high impact application - I can assure you our work could not be more central to current events in Australia!!! Please note, due to the urgency of the work, you must be currently located within Australia and able to commence immediately or as soon as your notice period has been served. These roles are part of a $20m Hub and more vacancies will be advertised soon. https://jobs.unimelb.edu.au/en/job/905792/research-fellows-pharma-and-food-… Please apply online – deadline 22 August 2021. Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect – 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin [A close up of a sign Description automatically generated] <https://melbconnect.com.au/> [Join R U OK?Day | R U OK?] I acknowledge the Traditional Owners of the land on which I work, and pay my respects to the Elders, past and present. This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error, please delete it and notify us by return email. CRICOS: 00116K

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2021 IEEE Technical Committee on Cloud Computing (TCCLD) Award Nomination
by Hojjat Baghban 25 Jul '21

25 Jul '21

*Dear Members and Friends, * As a friendly reminder, kindly please nominate qualified candidates for the* 2021 IEEE TCCLD* <https://tc.computer.org/tccld/awards/> awards listed below by August 20, 2021. Also, we truly thank you in advance to help with distributing the call for nominations. (https://tc.computer.org/tccld/awards/ ) *Call For Nominations ** 2021 IEEE Technical Committee on cloud computing (TCCLD ) Award Announcement* - - *TCCLD Outstanding Leadership Award * *This award recognizes one individual for her/his outstanding leadership contributions in the field of cloud computing. Also, the outstanding contributions in the application of cloud computing which affect and improve global business and help organizations and individuals are considered.* - *TCCLD Outstanding Service Award * *This award recognizes one individual with outstanding services to building the cloud computing community, and persistent volunteer efforts, such as services to IEEE TCCLD activities worldwide, annual related events.* - *TCCLD Women in Cloud Computing Award * *It recognizes women leaders who have made outstanding, influential, and potentially long-lasting contributions in the field of cloud computing and solve real problems. * - *TCCLD Impact Award * *It recognizes senior researchers or educators for her/his significant/distinguished contribution in the field of cloud computing.* - *TCCLD Outstanding Ph.D. Thesis Award. * TCCLD Outstanding Ph.D. thesis award is presented to a researcher whose Ph.D. thesis has the potential of a very high impact in cloud computing or gives direct evidence of such an impact. Only a Ph.D. degree obtained in 2020/2021 is considered for this award. - *TCCLD Rising Star Award (within 5 years of receiving the Ph.D. degree)* It recognizes outstanding young scientists and engineers who have demonstrated exceptional capabilities and made a significant contribution to the field of cloud computing. Only candidates who receive their Ph.D. within 5 years are eligible. - *TCCLD Research Innovation Award.* Anyone or one group of collaborators whose outstanding technical innovations are in the field of cloud computing. The contributors must have a long-term impact on advancing the theory and practice in cloud computing. - *Eligible applicants* 1. The IEEE TCCLD members. Join TCCLD Now <https://www.ieee.org/membership-catalog/productdetail/showProductDetailPage…> 2. Qualified candidates except for the IEEE TCCLD chairs, TCCLD executive committee members, and the past IEEE TCCLD awardees. 3. Nominees that have not been recognized for the TCCLD award will be reviewed with higher priority. 4. In terms of the TCCLD Outstanding Ph.D. Thesis Award, the Ph.D. degree should have been obtained in 2020/2021. - Please note: self-nomination is not permitted. *Nomination Process* - - Anyone in the field can nominate one person. Self-nominations are not accepted. - Nominations should include a proposed citation (up to 25 words), which includes the field of research/work and contributions, a detailed statement to justify the nomination (500 words or less), and personal/team web page URL of the nominee. - Two supporting letters are required for each nomination. The letters should address the significance of the contributions cited in the nomination. - Nominations that did not result in an award can be resubmitted or updated in subsequent years. - The Awards Committee will evaluate all nominations and decide on zero or more winners for each award category. *Important Dates:* - August 20, 2021: Nomination due - September 10, 2021: Selection results. (Internal) - The announcement of winners will be announced. IEEE DataCom 2021 <http://edgence.org/DATACOM2021/> *Submission Link* All nominations should be sent through the following link. All the files should be merged into one PDF file. * TCCLD Award Nomination <https://docs.google.com/forms/d/e/1FAIpQLSer9Ix6Ukue8UATIawg0cqUdBS4UxSDXNU…>* Note: If you require further information, feel free to contact ieeetccld(a)gmail.com <ieeetccld(a)gmail.com> *Awards committee chair* - *Professor Chunming Rong* <https://www.ux.uis.no/~chun/bio.html>, University of Stavanger, Norway, Email: chunming.rong(a)gmail.com Yours SIncerely, Hojjat Baghban, Ph.D. Executive Committee at IEEE Technical Committee on Cloud Computing (TCCLD), Membership Director.

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Call for Next-Generation Data Scientist Award - IEEE DSAA’2021
by ngds2021＠dsaa.co 23 Jul '21

23 Jul '21

Next Generation Data Scientist Award (NGDS Award) by IEEE International Conference on Data Science and Advanced Analytics (DSAA, CORE-A ranked) https://dsaa2021.dcc.fc.up.pt/ ** Deadline: 31 August 2021 The IEEE International Conference on Data Science and Advanced Analytics (DSAA) will offer a limited number (or none) of NGDS Awards every year to early‐career researchers (ECR) who have got PhD degrees within five years in data science. The NGDS Award has been the first and only global initiative to support the production and certification of qualified next‐generation data scientists. The NGDS awards will be sponsored by some of the DSAA sponsors. Each NGDS awardee will receive USD 1,000. One of the critical challenges facing the era of data science lies in the significant gap between the increasing data scientist job demand and the limited availability of qualified data scientists. The purpose of offering this NGDS award is to encourage young talents to conduct significant foundational research and applied innovation in Data Science toward a profound and world-standard level. All ECRs with the papers accepted at previous and current DSAA conferences are invited to apply, although the awards open to all applicants in data science. ** Selection Criteria of NGDS The DSAA steering committee sets up the NGDS Award to be highly prestigious and selective. Hence, the criteria for NGDS candidate selection are rigorous. This may involve the following aspects: -- PhD qualification in data science including statistics, machine learning, artificial intelligence, and other related fields; -- A strong track record in terms of theoretical contributions, business impact and/or educational contributions, which are quantifiable and outstanding; -- A reachable five-year career plan for significantly contributing to the data science community in terms of research, innovation, applications and/or education; -- Strong referee reports from two recognized data scientists; -- Strong recommendation from the candidate’s department or supervisor. ** How to Submit An NGDS Award Application? The deadline for applications is 31 August 2021. Applicants are encouraged to attend IEEE DSAA’2021 which will be held on 6-9 Oct 2021 in Porto, Portugal. An NGDS award candidate should submit an application to the NGDS award chairs, which includes: -- NGDS Award Application Form (download the NGDS application form from here) to address: dsaa2021(a)dsaa.co -- Applicant information; -- Response to the above selection criteria; -- Title, authors and track record of DSAA publications and attendance; -- Resume with affiliation, education background, publications, projects, cases of impact, awards etc.; -- Certificate showing staff ID and working status; -- Two referee reports with referee’s contact details and signatures; -- A recommendation letter from head of department or supervisor on the organization letterhead. -- All application materials should be zipped into a file titled “2021_NGDS_Applicant Last Name_ First Name.zip” and submitted to dsaa2021(a)dsaa.co. Successful candidates must register and attend DSAA’2021, otherwise, the award may be given to other candidates in the shortlist list per the selection committee’s decision. An announcement of the final winner will be made in the DSAA’2021 conference banquet. All documents should be in PDF and attached to the email. Late submissions, or documents in other formats will not be accepted. ** Contacts -- Any inquiries and questions should be addressed to dsaa2021(a)dsaa.co. -- More information and registration to DSAA’2021 is available here: https://dsaa2021.dcc.fc.up.pt/attending/registration. -- The list of existing NGDS Awardees is available at DSAA Awards webpage (https://dsaa.co/?page_id=1583).

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CFP - Special Session on High Performance Computing in Modelling and Simulation (HPCMS) - Valladolid (Spain)
by William Spataro 22 Jul '21

22 Jul '21

(sorry for cross postings) ************************************************************************** CALL FOR PAPERS: Special Session on High Performance Computing in Modelling and Simulation (HPCMS) Within PDP 2022 (pdp2022.infor.uva.es) The 30th Euromicro International Conference on Parallel, and Network-Based Computing Valladolid (Spain) (hybrid attendance) 9-11 March 2022 https://pdp2022.infor.uva.es/specialsessions/hpcms/hpcms.php Deadline: September 30th, 2021 Contact: William Spataro - spataro(a)unical.it ************************************************************************* AIMS AND SCOPE The development of models through which computers can simulate the evolution of artificial and natural systems is fundamental for the advancement of Science. In the last decades, the increasing power of computers has allowed to considerably extend the application of computing methodologies in research and industry, but also to the quantitative study of complex phenomena. This has permitted a broad application of numerical methods for differential equation systems (e.g., FEM, FDM, etc.) on one hand, and the application of alternative computational paradigms, such as Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence, etc., on the other. These latter have demonstrated their effectiveness for modelling purposes when traditional simulation methodologies have proven to be impracticable. Following the success of our past HPCMS workshops at PDP (since 2014), we are glad to invite you to our eighth edition which will take place in Valladolid (Spain). An important mission of the HPCMS Workshop is to provide a platform for a multidisciplinary community composed of scholars, researchers, developers, educators, practitioners and experts from world leading Universities, Institutions, Agencies and Companies in Computational Science, and thus in the High Performance Computing for Modelling and Simulation field. HPCMS intent is to offer an opportunity to express and confront views on trends, challenges, and state-of-the art in diverse application fields, such as engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economy, etc. Topics of interest include, but are not limited to, the following: - High-performance computing in computational science: intra-disciplinary and multi-disciplinary research applications - Complex systems modelling and simulation - Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence implementations - Integrated approach to optimization and simulation - MPI, OpenMP, GPGPU applications in Computational Science - Optimization algorithms, modelling techniques related to optimization in Computational Science - High-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems - Hardware approaches of high performance computing in modeling and simulation IMPORTANT DATES Paper submission: 30 September 2021 Acceptance notification: 22 December 2021 Camera ready due: 16 January 2022 Conference: 9 - 11 March 2022 Submission guidelines Prospective authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt). Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors own work should appear as "omitted for blind review" entries. For submission, please use the following link and select the HPCMS session: https://easychair.org/my/conference?conf=pdp2022 and select the "High Performance Computing in Modelling and Simulation" track. Manuscript submission Publication All accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted for inclusion in Xplore and the CSDL, and for indexing, among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. Special Issue As for previous editions, organizers of the HPCMS session are planning a Special Issue of an important international ISI Journal, based on distinguished papers that will be accepted for the session. Organizers William Spataro - University of Calabria, Italy Georgios Sirakoulis - Democritus University of Thrace, Greece Giuseppe A. Trunfio - University of Sassari, Italy Rocco Rongo, University of Calabria, Italy Andrea Giordano, ICAR-CNR, Italy Program Committee Angelos Amanatiadis, Democritus University of Thrace, Greece Donato D'Ambrosio, University of Calabria, Italy Pawel Topa, AGH University of Science and Technology, Poland Gianluigi Folino, ICAR-CNR, Italy Lou D'Alotto, York College/CUNY, New York, USA Antonios Gasteratos, Democritus University of Thrace, Greece Ioakeim Georgoudas, Democritus University of Thrace, Greece Marco Beccutti, University of Torino, Italy Rolf Hoffmann, Darmstadt University, Germany Ioannis Karafyllidis, Democritus University of Thrace, Greece Yaroslav Sergeyev, University of Calabria, Italy Antisthenis Tsompanas, University of the West of England, UK Rocco Rongo, University of Calabria, Italy Georgios Sirakoulis, Democritus University of Thrace, Greece William Spataro, University of Calabria, Italy Giuseppe A. Trunfio, University of Sassari, Italy Marco Villani, University of Modena and Reggio Emilia, Italy Jaroslaw Was, AGH University of Science and Technology, Poland Davide Spataro, Degiro, The Netherlands Massimo Cafaro, University of Salento, Italy Andrea Giordano, ICAR-CNR, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Gihan R. Mudalige, University of Warwick, UK Alessio De Rango, University of Calabria, Italy -- °-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° William Spataro Department of Mathematics & Computer Science High Performance Computing Center University of Calabria I-87036 Arcavacata di Rende (CS) Italy Phone(s) : +39.0984.496464 Fax : +39.0984.493570 Web: www.mat.unical.it/spataro Email: spataro(a)unical.it -°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° -- ------------------------------------------------------------------------------------------------------------------ Il banner è generato automaticamente dal servizio di posta elettronica dell'Università della Calabria <http://www.unical.it/5x1000>

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Invitation to join 2021 Summer Short Course 'Deep Learning and Computer Vision', 23-24th August 2021
by Ioanna Koroni 21 Jul '21

21 Jul '21

Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in the CVML Short e-course on 'Deep Learning and Computer Vision', 23-24th August 2021: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills. You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics. This 6th edition of this course is part of the very successful CVML short course series that took place in the last four years. Course description 'Deep Learning and Computer Vision' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Mapping and Localization) and machine learning (Introduction to neural networks, Perceptron, backpropagation, Deep neural networks, Convolutional NNs). Part B lectures (8 hours) provide in-depth views of the various topics encountered in autonomous systems perception, ranging from vehicle localization and mapping, to Neural SLAM, target detection and tracking. Part B also contains application-oriented lectures on autonomous drones, cars and marine vessels, e.g., drone mission planning for cinematography and related applications (marine surveillance, infrastructure/building inspection, car vision). Course lectures Part A: (first day, 8 lectures) 1. Introduction to autonomous systems imaging 2. <http://icarus.csd.auth.gr/digital-image-and-videos> Digital Image and Videos 3. <http://icarus.csd.auth.gr/camera-geometry/> Camera geometry 4. <http://icarus.csd.auth.gr/stereo-and-multiview-imaging-lecture> Stereo and Multiview imaging 5. <http://icarus.csd.auth.gr/artificial-neural-networks-perceptron-lecture> Introduction to Artificial Neural Networks. Perceptron 6. <http://icarus.csd.auth.gr/multilayer-perceptron-backpropagation-lecture> Multilayer perceptron. Backpropagation 7. Deep neural networks. <http://icarus.csd.auth.gr/convolutional-neural-networks-lecture> Convolutional NNs 8. Introduction to multiple drone imaging Part B: (second day, 8 lectures) 1. <http://icarus.csd.auth.gr/3d-robot-localization-and-mapping-lecture> Simultaneous Localization and Mapping 2. <http://icarus.csd.auth.gr/neural-slam-lecture/> Neural Slam 3. <http://icarus.csd.auth.gr/deep-object-detection-lecture> Deep Object Detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software Development Tools Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Short e-course on 'Computer Vision for Autonomous Systems' 25-27th August 2021: http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein. For questions, please contact: Ioanna Koroni <koroniioanna(a)csd.auth.gr <mailto:koroniioanna@csd.auth.gr> > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/ 5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 6) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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[Final Paper Deadline in less than 1 Week] - IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2021
by Sanmukh Kuppannagari 10 Jul '21

10 Jul '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** Final Paper Submission deadline for the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science, HiPC 2021 is in less than one week. Please submit your papers before the deadline. Please note that this is a hard deadline and no further extension will be granted. Paper Submission Deadline: 16 July, 2021 (hard deadline) More information can be found at the call for papers: https://hipc.org/call-for-papers/ Regards, Sanmukh Kuppannagari Senior Research Associate University of Southern California https://sanmukh.github.io/

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[CFP]13th Int. Conf. on on Neural Computation Theory and Applications :: New Late-Breaking Deadline - July 23rd
by Alessio Martino 09 Jul '21

09 Jul '21

CALL FOR PAPERS 13th International Conference on Neural Computation Theory and Applications New Late-Breaking Submission Deadline: July 23, 2021 http://www.ncta.ijcci.org/ <http://www.ncta.ijcci.org/> October 25 - 27, 2021 Online Streaming In Cooperation with Spanish Association of Artificial Intelligence Association for the Advancement of Artificial Intelligence Associazione Italiana per l'Intelligenza Artificiale Neural computation and artificial neural networks, especially in relation to deep learning, have seen an explosion of interest over the recent decades, and are being successfully applied across an extraordinary range of problem domains, in areas as diverse as finance, medicine, engineering, geology and physics, in problems of complex dynamics and complex behavior prediction, classification or control. Several architectures, learning strategies and algorithms have been introduced in this highly dynamic field in the last couple of decades. Nowadays, having reached notable scientific and applicative maturity, neural computation and related techniques are considered as major basis toward the completion of intelligent artificial systems. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of neural computing systems, both theoretically and in a broad range of application fields. Conference Chair(s) Juan Julian Merelo, University of Granada, Spain Kevin Warwick (honorary), University of Reading and Coventry University, United Kingdom Program Chair(s) H. K. Lam, King's College London, United Kingdom Marie Cottrell, Université Paris1, France With the presence of internationally distinguished keynote speakers: Susana Vieira, University of Lisbon, Portugal Joseph Rynkiewicz, Université de Paris 1 Panthéon-Sorbonne, France Carlos Coello, CINVESTAV-IPN, Mexico Barbara Hammer, Bielefeld University, Germany Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index. A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a SCI Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Also, a short list of best papers will be invited for a post-conference special issue of the Springer Nature Computer Science journal. Kind regards, Mónica Saramago NCTA Secretariat Web: http://www.ncta.ijcci.org/ <http://www.ncta.ijcci.org/> e-mail: ncta.secretariat(a)insticc.org <mailto:ncta.secretariat@insticc.org> ________________________________________ Alessio Martino, PhD, Research Fellow Italian National Research Council Institute of Cognitive Sciences and Technologies (ISTC-CNR) Via San Martino della Battaglia 44, 00185 Rome, Italy <https://www.google.com/maps/place/Via+S.+Martino+della+Battaglia,+44,+00185…> Phone: (+39)0644362370-5 E-mail: alessio.martino(a)istc.cnr.it <mailto:alessio.martino@istc.cnr.it> Web: www.istc.cnr.it/en <http://www.istc.cnr.it/en>

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Invitation for the 2021 Summer e-School on Deep Learning and Computer Vision, 23-27th August 2021, Aristotle University of Thessaloniki, Thessaloniki, Greece
by Ioanna Koroni 07 Jul '21

07 Jul '21

Dear Machine Learning, Computer Vision and Autonomous Systems engineers, scientists, and enthusiasts, you are welcomed to register to the 2021 Summer e-School on Deep Learning and Computer Vision: <http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2021/> http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2021/ It will take place on 23-27/08/2021 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The summer e-school consists of two short e-courses: a) 'Short Course Computer Vision and Deep Learning 2021', 23-24th August 2021, having focus on autonomous drones, cars and marine vessels: <http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-v ision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ b) 'Programming short course and workshop on Deep Learning and Computer Vision 2021', 25-27th August 2021, with applications in digital media and autonomous drones: <http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-dee p-learning-and-computer-vision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ You can follow the above-mentioned links for registration on either or both e-courses. For questions, please contact: Ioanna Koroni < <mailto:koroniioanna@csd.auth.gr> koroniioanna(a)csd.auth.gr> The first e-course contains 16 live (and recorded) lectures providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous drones, cars and marine vessels. The second programming short e-course and workshop offers a mix of live (and recorded) lectures and programming workshops (hands-on lab exercises) and aims at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on drone imaging/cinematography and digital media applications. Both short e-courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is AUTH prime investigation for H2020 project AerialCore, Coordinator of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece and Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018). Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally. Relevant links: 1. European Horizon2020 R&D projects Aerial-Core: <https://aerial-core.eu/> https://aerial-core.eu/, Multidrone: <https://multidrone.eu/> https://multidrone.eu/, AI4Media: <https://ai4media.eu/> https://ai4media.eu/ 2. AIIA Lab: <http://www.aiia.csd.auth.gr/> http://www.aiia.csd.auth.gr/ 3. Prof. I. Pitas: <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el Course descriptions a) 'Short Course Computer Vision and Deep Learning 2021', 23-24th August 2021. <http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-v ision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Digital Image and Videos 3. Camera geometry 4. Stereo and Multiview imaging 5. Introduction to Artificial Neural Networks. Perceptron 6. Multilayer perceptron. Backpropagation 7. Deep neural networks. Convolutional NNs 8. Introduction to multiple drone imaging Part B (8 hours) Deep learning topic list 1. Simultaneous Localization and Mapping 2. Neural Slam 3. Deep object detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software development tools b) ''Programming short course and workshop on Deep Learning and Computer Vision 2021', 25-27th August 2021. <http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-dee p-learning-and-computer-vision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ Part A (8 hours), Deep learning and GPU programming sample topic list 1. Introduction to autonomous systems 2. Deep neural networks. Convolutional NNs 3. Parallel GPU and multi-core CPU architectures - GPU programming 4. Image classification with CNNs. 5. CUDA programming Part B (8 hours), Deep Learning for Computer Vision sample topic list 1. Deep learning for object/face detection 2. 2D object tracking 3. PyTorch: Understand the core functionalities of an object detector. Training and deployment. 4. OpenCV programming for object tracking Part C (8 hours), Autonomous UAV cinematography sample topic list 1. Video summarization 2. UAV cinematography 3. Video summarization with Pytorch 4. Drone cinematography with Airsim Sincerely yours Prof. I. Pitas -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Open Ph.D. Position ESR4 within the European InnoCyPES Project
by Massimo CAFARO 06 Jul '21

06 Jul '21

InnoCyPES is a project funded under H2020 Marie Skłodowska-Curie Actions, Innovative Training Networks. Within the project, there is an available position at the University of Salento, Lecce, for talented, enthusiastic, and ambitious candidates with the skills and knowledge to make excellent research and breakthroughs in the field of cyber physical energy systems. The successful ESR (Early Stage Researcher) candidate will enroll in the PhD programme in Engineering of Complex Systems and be employed for 36 months in the InnoCyPES network, consisting of 7 academic beneficiaries, 4 industrial beneficiaries, in collaboration with 10 partner organizations. InnoCyPES targets at the key bottlenecks of digital transformation of the current energy system, where the ESRs are expected to study, investigate and improve various facets of digitalized and interconnected energy systems. Supervised by a consortium of prominent and experienced academic institutions, research institutes and industrial partners, they will collaboratively develop a cutting-edge system management platform that covers the entire lifecycle of data for energy system planning, operation and maintenance, based on an understanding of the energy system as a cyber-physical system. The ESR will be enrolled in an intensive doctoral training program that is both intersectoral – involving key stakeholders – and interdisciplinary, including information science, energy systems engineering and social science. Benefits All InnoCyPES ESRs will benefit from: - Extensive training in technical and transferrable skills; - Participation to network events, workshops and conferences; - A prestigious three-year MSCA Fellowship; - A competitive salary including mobility and family allowances; - Intersectoral secondment experience. Qualifications Applicants shall have proven interest in interdisciplinary and intersectoral research, and with specific interest in the InnoCyPES research areas as evidenced by the application documents. Besides, the following requirements are to be met: 1) have obtained their Master of Science degree in Computer Science, Computer Engineering or equivalent; 2) An excellent academic record (grades of B or higher) 3) have engineering background relevant to the following areas but not limited to: distributed computing, databases, distributed data management, security and privacy; knowledge of times series storage and analysis is a plus; 4) have good command of English (minimum C1 or equivalent). Requirements The applicants must fulfill the following conditions: 1) Early stage researchers: Applicants must be early-stage researchers, which means at the date of start, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree; 2) Mobility Rule: researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of the host institute for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention1 are not taken into account. For international European interest organisations, international organisations, the European Commission's Joint Research Centre (JRC) or an 'entity created under Union law', recruited researchers must not have spent more than 12 months in the 3 years immediately before the recruitment date at the same appointing organisation. Are you interested? If you are interested in this exciting and challenging opportunity, please apply. Applicants of any age and of any nationality are eligible. The recruitment process follows an open, transparent, impartial, equitable and merit-based procedure and the European Charter and Code of Conduct for the Recruitment of Researchers. Consortium partners Host institute - Technical University of Denmark (DTU), Denmark - University of Utrecht (UU), Netherlands - Électricité de France (EDF), France - Delft University of Technology (TUD), Netherlands - University of Salento (UNILE), Italy - Norwegian University of Science and Technology (NTNU), Norway - Imperial College of London (ICL), United Kingdom - Dansk Energi (DE), Denmark - Austrian Institute of Technology (AIT), Austria - Siemens Gamesa Renewable Energy (SGRE), Denmark - Tajfun HiL (THiL), Serbia Partner organizations - Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia - DEPSYS (DEP), Switzerland - Equinor Energy (EQN), Norway - Swiss Federal Institute of Technology (ETH), Switzerland - Phase to Phase (Ph2Ph), Netherland - Instituto de Engenharia de Sistemas e Computadores - Investigação e Desenvolvimento (INESC), Portugal - NARI Technology (NARI), China - University of New South Wales (UNSW), Australia - Siemens, Denmark - Ørsted Wind Power (Ørsted), Denmark Open ESR position ESR4: Large scale data management The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the ESR research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges. · Host organisation: University of Salento, Italy · PhD-enrolment: University of Salento · Duration: 36 months · Expected start date: ~Nov 2021 · Secondment: DE (4 months), TUD (4 months) · Research directors: Prof. Massimo Cafaro massimo.cafaro(a)unisalento.it Prof. Italo Epicoco italo.epicoco(a)unisalento.it Simon Tindemans S.H.Tindemans(a)tudelft.nl HOW TO APPLY: https://www1.unisalento.it/bandi-concorsi/-/bandi/view/65641043 The tender is available as “Phd call - Engineering of complex systems - 37° cycle" https://www1.unisalento.it/c/document_library/get_file?p_l_id=63872469&fold… Applicants will find the position searching the document for Research Area No. 3 N. 1 position funded on InnoCyPES research program Large scale data management and integration In particular, applicants are strongly advised to check in the same document the "Additional note for the position funded on the InnoCyPES research program”, in which all of the requirements for this position are listed. The deadline for applications is July 8 01.00 PM Italian time. - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************ --

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Postdoc Research Fellow position in autonomous cyber-physical systems security at ADSC Singapore
by Tan Rui (Assoc Prof) 06 Jul '21

06 Jul '21

Postdoc Research Fellow position in autonomous cyber-physical systems security at ADSC Singapore A Research Fellow position is immediately available at Advanced Digital Sciences Center (ADSC) to conduct research and development for a new project in autonomous cyber-physical systems. The project aims at studying both internal and external attacks in autonomous cyber-physical systems using learning-based approaches. The successful candidate will work on designing the attack strategy for the adversary and defence strategy for the system operator using the machine learning or deep learning techniques. The specific task will include problem formulation, machine learning or deep learning algorithm designing and testing. Qualification requirements: - Phd in computer science or electrical engineering. - Experience in machine learning or deep learning. Skills requirements: - Familiar with Python, or C/C++ programming - Experience in cyber security or cyber-physical system is a plus - Capability of independent research - Good communication skills, and work under stress How to apply: Interested candidates can apply at https://my.engr.illinois.edu/apply To receive prompt review, please also send a copy of CV to lou.xin(a)adsc-create.edu.sg. Shortlisted candidates will be notified. Illinois At Singapore Pte. Ltd./ Advanced Digital Sciences Center (ADSC) is a university-related organization affiliated with the University of Illinois at Urbana-Champaign (UIUC) established 2009 for the conduct of research in Singapore with founding funding from National Research Foundation (NRF). ADSC operates in Singapore under the Singapore-chartered Illinois at Singapore Pte. Ltd. in partnership with NRF and interfaces with UIUC in the USA for many of its support functions. ADSC is home to approximately 50 researchers and students focusing on breakthrough innovations in information technologies supporting interactive cyber infrastructures that are expected to have a major impact in transforming humans’ use of information in data-intensive, technologically developed societies. ADSC’s research mission is carried out through projects that facilitate interactions among UIUC researchers, local researchers and their industry partners. Through this, ADSC aims to enhance Singapore’s position as a hub for leading edge research. For more information about this area at ADSC, please visit ADSC's website: http://adsc.illinois.edu/ ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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[Abstract Deadline in 1 Week] - IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2021
by Sanmukh Kuppannagari 02 Jul '21

02 Jul '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** Abstract Submission deadline for the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science, HiPC 2021 is in one week. Please register your papers before the deadline. Abstract Submission Deadline: 8 July, 2021 Paper Submission Deadline: 16 July, 2021 (hard deadline) More information can be found at the call for papers: https://hipc.org/call-for-papers/ Regards, Sanmukh Kuppannagari Senior Research Associate University of Southern California https://sanmukh.github.io/

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[MHPC] Meet with us!
by Master in HPC 01 Jul '21

01 Jul '21

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ScalA@SC21 CFP - Papers due August 27
by Engelmann, Christian 30 Jun '21

30 Jun '21

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA21: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC21: The International Conference on High Performance Computing, Networking, Storage and Analysis November 19, 2021, St. Louis, MO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2021> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Submission Guidelines --------------------- Authors are invited to submit manuscripts in English structured as technical papers at a length of at least 6 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers should be submitted electronically at <https://submissions.supercomputing.org>. All manuscripts will be peer-reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. At least one author of an accepted paper must register for and present the paper at the workshop. Authors may contact the workshop program chair, Christian Engelmann at engelmannc(a)ornl.gov, for more information. Important Web Sites ------------------- - ScalA21 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2021> - ScalA21 Submissions: <https://submissions.supercomputing.org> - SC21 website: <http://sc21.supercomputing.org/> Important Dates --------------- - Full paper submission: August 27, 2021 - Notification of acceptance: September 27, 2021 - Final paper submission (firm): TBD - Workshop/conference early registration: October 15, 2021 - Workshop: 8:30am - 12pm CST, November 19, 2021 Topics of interest include, but are not limited to: --------------------------------------------------- - Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale, including Data Science approaches in dealing with Big Data - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2023) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience (including ones enabling Big Data processing) Workshop Chairs --------------- - Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair ---------------------- - Christian Engelmann, Oak Ridge National Laboratory, USA Contact at engelmannc(a)ornl.gov Program Committee ----------------- - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Marco Berghoff, Karlsruhe Institute of Technology, Germany - Hans-Joachim Bungartz, Technical University of Munich, Germany - Florina M. Ciorba, University of Basel, Switzerland - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Yasuhiro Idomura, Japan Atomic Energy Agency, Japan - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Paul Lin, Lawrence Berkeley National Laboratory, USA - Kengo Nakajima, RIKEN, Japan - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. Senior Scientist & Group Leader Intelligent Systems and Facilities Group Advanced Computing Systems Research Section Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov / Home: www.christian-engelmann.info

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2nd CFP - 17th Doctoral Consortium (DC) on Logic Programming (ICLP-DC 2021)
by Miguel Areias 29 Jun '21

29 Jun '21

========================================================================= CALL FOR PAPERS ICLP DC 2021 - 17th Doctoral Consortium (DC) on Logic Programming ========================================================================= The 17th Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. The preliminary website of the DC can be found at: https://sites.google.com/view/iclp-dc-2021/iclp-2021-doctoral-consortium The DC will take place during the 37th International Conference on Logic Programming (ICLP) https://iclp2021.dcc.fc.up.pt (September 20-27, 2021), as a fully virtual event. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. Important Dates *************** Paper submission: July 15, 2021 Notification: August 01, 2021 Camera-ready copy: August 10, 2021 DC presentations: TBA (fully virtual event) DC students are highly recommended to attend the Autumn School on Logic Programming and Constraint Programming (https://sites.google.com/view/iclp-dc-2021/autumn-school-on-logic-programmi…). Audience ******** The DC is designed for students currently enrolled in a Ph.D. program, though we are also open to exceptions (e.g., students currently in a Master's program and interested in doctoral studies). Students at any stage in their doctoral studies are encouraged to apply for participation in the DC. Applicants are expected to conduct research in areas related to logic and constraint programming; topics of interest include (but are not limited to): ** Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. ** Languages: Concurrency, Objects, Coordination, Mobility, Higher Order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming Techniques. ** Declarative programming: Declarative program development, Analysis, Type and mode inference, Partial evaluation, Abstract interpretation, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. ** Implementation: Virtual machines, Compilation, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and Co-inductive Logic Programming, Constraint Logic Programming, Answer Set Programming, Interaction with SAT, SMT and CSP solvers, Logic programming techniques for type inference and theorem proving, Argumentation, Probabilistic Logic Programming, Relations to object-oriented and Functional programming. ** Applications: Databases, Big Data, Data integration and federation, Software engineering, Natural language processing, Web and Semantic Web, Agents, Artificial intelligence, Computational life sciences, Education, Cybersecurity, and Robotics. Submissions by students who have presented their work at previous ICLP DC editions are allowed, but should occur only if there are substantial changes or improvements to the student's work. The DC offers participants a convenient, more informal way to interact with established researchers and fellow students, through presentations, question-answer sessions, panel discussions, and invited presentations. The Doctoral Consortium will also provide the possibility to reflect - through short activities, information sessions, and discussions - on the process and lessons of research and life in academia. Each participant will give a short, critiqued, research presentation. Discussants *********** Renowned experts and researchers in the fields of logic and constraint programming will join in evaluating submissions and will participate in the DC, providing valuable feedback to DC participants. Goals ***** ** To provide doctoral students working in the fields of logic and constraint programming with a friendly and open forum to present their research ideas, listen to ongoing work from peer students, and receive constructive feedback. ** To provide students with relevant information about important issues for doctoral candidates and future academics. ** To develop a supportive community of scholars and a spirit of collaborative research. ** To support a new generation of researchers with information and advice on academic, research, industrial, and non-traditional career paths. Submission Details ****************** Submissions of the research summary must be made in EPTCS format (http://info.eptcs.org/) and submitted via EasyChair. All papers must be written in English and should be between 5 and 10 pages. For all accepted DC papers, the student is required to attend the DC program and give a presentation during the DC. A program committee consisting of experts in various areas related to logic and constraint programming reviews the submissions. Papers are reviewed by at least two, and usually three, referees. The submission package should consist of the research summary in the format mentioned above, a short vita or cover letter of the applicant, a letter of recommendation from applicant's faculty advisor, and one paragraph statement outlining how the school will benefit the applicant. All material is to be submitted electronically, in PDF format on the Easychair system. Easychair link: https://easychair.org/conferences/?conf=iclp2021 (Doctoral Consortium track) Research summary (make sure to include your complete name, address, and affiliation): The body of your research summary (no more than 10 pages, but 5 is fine as well!) should provide a clear overview of your research, its potential impact, and its current status. You are encouraged to include the following sections: ** Introduction and problem description ** Background and overview of the existing literature ** Goal of the research ** Current status of the research ** Preliminary results accomplished (if any) ** Open issues and expected achievements ** Bibliographical references Review Criteria *************** The DC program committee will select participants based on their anticipated contribution to the DC objectives. Participants typically have settled on their thesis directions and have their research proposal accepted by their thesis committee. Students will be selected based on clarity and completeness of their submission package, relevance of their research area w.r.t. the focus of ICLP, stage of research, recommendation letter, and evidence of promise towards a successful career in research and academia, such as published papers or technical reports. Registration ************ Registration is part of the ICLP 2021 registration. Registration costs for ICLP will be lower than usual since it is virtual this year. We aim to find sponsoring to cover the registration cost of students participating in the DC, but this still has to be confirmed. Program co-chairs ***************** Bart Bogaerts, Vrije Universiteit Brussel Carmine Dodaro, University of Calabria Program Committee ***************** Daniela Inclezan, Miami University OH Johannes Fichte, TU Dresden Fabio Fioravanti, University of Chieti-Pescara Gregory Gelfond, University of Nebraska at Omaha Zeynep G. Saribatur, Vienna University of Technology Frank Valencia, LIX, Ecole Polytechnique Matthias Van der Hallen, KU Leuven Yi Wang, Arizona State University Jessica Zangari, University of Calabria

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Phd opprtunities @University of Lille and INRIA
by El-ghazali Talbi 29 Jun '21

29 Jun '21

*** Re-Posting - Please help distribute it to interested once **** 2 PhD Opportunity in optimization, metaheuristics and deep learning - Deadline July 30, 2021 1. "Multi-criteria design and optimization of deep learning models: Application to embedded systems". Collaboration with IRT-SystemX Paris Saclay. See the linkhttps://www.irt-systemx.fr/recrutement/multi-criteria-automated-design-and-optimization-of-deep-neural-networks/ for more details. 2. "Optimization of deep learning models for spacio-temporel prediction", Collaboration with EDF Paris Saclay. contact: Prof. El-Ghazali TALBI, e-mail:el-ghazali.talbi@univ-lille.fr -- ********************************************************************** META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021, Marrakech, Morocco http://meta2021.sciencesconf.org *********************************************************************** ********************************************************************** OLA'2022 International Conference on Optimization and Learning July 2022, Sicilia, Italy *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com

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[CFP]13th Int. Conf. on on Neural Computation Theory and Applications :: New Submission Deadline - July 2nd
by Alessio Martino 25 Jun '21

25 Jun '21

CALL FOR PAPERS 13th International Conference on Neural Computation Theory and Applications New Regular/Position Paper Submission Deadline: July 02, 2021 http://www.ncta.ijcci.org/ <http://www.ncta.ijcci.org/> October 25 - 27, 2021 Online Streaming In Cooperation with Spanish Association of Artificial Intelligence Association for the Advancement of Artificial Intelligence Associazione Italiana per l'Intelligenza Artificiale Neural computation and artificial neural networks, especially in relation to deep learning, have seen an explosion of interest over the recent decades, and are being successfully applied across an extraordinary range of problem domains, in areas as diverse as finance, medicine, engineering, geology and physics, in problems of complex dynamics and complex behavior prediction, classification or control. Several architectures, learning strategies and algorithms have been introduced in this highly dynamic field in the last couple of decades. Nowadays, having reached notable scientific and applicative maturity, neural computation and related techniques are considered as major basis toward the completion of intelligent artificial systems. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of neural computing systems, both theoretically and in a broad range of application fields. Conference Chair(s) Juan Julian Merelo, University of Granada, Spain Kevin Warwick (honorary), University of Reading and Coventry University, United Kingdom Program Chair(s) H. K. Lam, King's College London, United Kingdom Marie Cottrell, Université Paris1, France With the presence of internationally distinguished keynote speakers: Susana Vieira, University of Lisbon, Portugal Joseph Rynkiewicz, Université de Paris 1 Panthéon-Sorbonne, France Carlos Coello, CINVESTAV-IPN, Mexico Barbara Hammer, Bielefeld University, Germany Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index. A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a SCI Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Also, a short list of best papers will be invited for a post-conference special issue of the Springer Nature Computer Science journal. Kind regards, Mónica Saramago NCTA Secretariat Web: http://www.ncta.ijcci.org/ <http://www.ncta.ijcci.org/> e-mail: ncta.secretariat(a)insticc.org <mailto:ncta.secretariat@insticc.org> ________________________________________ Alessio Martino, PhD, Research Fellow Italian National Research Council Institute of Cognitive Sciences and Technologies (ISTC-CNR) Via San Martino della Battaglia 44, 00185 Rome, Italy <https://www.google.com/maps/place/Via+S.+Martino+della+Battaglia,+44,+00185…> Phone: (+39)0644362370-5 E-mail: alessio.martino(a)istc.cnr.it <mailto:alessio.martino@istc.cnr.it> Web: www.istc.cnr.it/en <http://www.istc.cnr.it/en>

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Deadlines Approaching - IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2021
by Sanmukh Kuppannagari 23 Jun '21

23 Jun '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** Paper submission deadlines for the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science, HiPC 2021 are approaching. Please note that these are hard deadlines and no further extension will be granted. Abstract Submission Deadline: 8 July, 2021 Paper Submission Deadline: 16 July, 2021 (hard deadline) More information can be found at the call for papers: https://hipc.org/call-for-papers/ Regards, Sanmukh Kuppannagari Senior Research Associate University of Southern California https://sanmukh.github.io/

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CFP - Workshop on Goal-directed Execution of Answer Set Programs (GDE 2021)
by Miguel Areias 15 Jun '21

15 Jun '21

========================================================================= CALL FOR PAPERS GDE 2021: Workshop on Goal-directed Execution of Answer Set Programs https://utdallas.edu/~gupta/gde21 ========================================================================= A workshop of 37th International Conference on Logic Programming September 20-27, 2021 (the event will be virtual) ========================================================================= Workshop Aim: ************* Answer set programming is a successful extension of logic programming for solving combinatorial problems as well as knowledge representation and reasoning problems. Most current implementations of ASP work by grounding a program and using a SAT solver-like technology to find the answer sets. While this approach is extremely efficient, relying on grounding of the program leads to significant blow-up of the program size, and computing the whole model makes finding justification of an atom in the model hard. This limits the applicability of ASP to problems dealing with large knowledge bases. Goal-directed or query-driven execution strategies have been proposed that do not require grounding. The goal of this workshop is to foster discussion around challenges and opportunities that such approaches present. Tentative list of topics include: ********************************* * Non-grounding based implementations of ASP * Constructive Negation * Implementation Technology for Goal-directed ASP * Applications of Goal-directed ASP * Query-driven Constraint ASP * System Description * Tabling in goal-directed ASP Systems * Coinductive Logic Programming and ASP Submission Instructions: ************************ Technical papers, position papers, as well as extended abstracts are welcome. Papers should be maximum 15 pages long and in LNCS Format. Email the paper in pdf format to the workshop organizers by the deadline date. Important Dates: **************** Paper Submission: August 5, 2021 Decision Notification: August 15, 2021 Workshop Date: TBA (During one of ICLP'21 Conference days) Invited Speakers: ***************** TBA Organizers: *********** *Gopal Gupta, The University of Texas at Dallas, USA; Gopal.Gupta(a)utdallas.edu *Joaquin Arias, Joaquin Arias, Universidad Rey Juan Carlos, Spain; Joaquin.Arias(a)urjc.es *Elmer Salazar, The University of Texas at Dallas, USA; Elmer.Salazar(a)utdallas.edu Program Committee: ****************** TBA =========================================================================

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Research Opportunity: AI/ML for anomaly detection and metric forecasting in data center operations
by Tommaso Cucinotta 13 Jun '21

13 Jun '21

Dear all, Scuola Superiore Sant'Anna in Pisa (Italy) is offering 2 yearly (renewable) research associate positions in the area of "Artificial Intelligence and Machine Learning supporting anomaly detection and metric forecasting in data center operations", an industrial research project funded by the Vodafone network operator. In the context of this collaboration, software-based solutions embedding appropriate AI/ML techniques are being engineered to be connected to the data processing pipeline supporting operations within the Vodafone network. The realized components need to be inherently scalable leveraging on cloud computing technologies, having to process data coming from NFV data centers across 12 EU member countries. The resulting system will constitute a valuable element in the decision making process within the Vodafone /Network Virtual Infrastructure Design team/ for operations dealing with resource management, capacity planning and performance troubleshooting. The results of the research are expected to be published in the form of patents and scientific publications at relevant international venues. More information about the project is available at: English: https://www.santannapisa.it/en/news/artificial-intelligence-telecommunicati… Italian: https://www.santannapisa.it/it/news/intelligenza-artificiale-e-telecomunica… Additional information is also available at: https://www.linkedin.com/pulse/two-research-positions-ai-nfv-scuola-superio… The call for applications (due on July, 19th 2021) is available at: English: https://www.santannapisa.it/en/assegni-di-ricerca-e-selezioni/institute-com… Italian: https://www.santannapisa.it/it/assegni-di-ricerca-e-selezioni/istituto-di-t… Should you need further information, don't hesitate to write me. Feel free to forward this message to potentially interested colleagues. Thanks and regards, Tommaso Cucinotta -- Tommaso Cucinotta, Associate Professor in Computer Engineering, PhD Head of the Real-Time Systems Laboratory (ReTiS) Scuola Superiore Sant'Anna, Pisa, Italy http://retis.sssup.it/people/tommaso

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[High Performance Computing] Become a specialist!
by Master in HPC 11 Jun '21

11 Jun '21

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Deadlines Extended - IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2021
by Sanmukh Kuppannagari 07 Jun '21

07 Jun '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** Paper submission deadlines for the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science, HiPC 2021 have been extended. Please note that the updated deadlines are hard deadlines and no further extension will be granted. Abstract Submission Deadline: 8 July, 2021 Paper Submission Deadline: 16 July, 2021 (hard deadline) The updated Call for Papers follows below. The same can be downloaded from: https://hipc.org/call-for-papers/ Regards, Sanmukh Kuppannagari Senior Research Associate University of Southern California https://sanmukh.github.io/ HiPC 2021 CALL FOR PAPERS 28th IEEE International Conference on High Performance Computing, Data, and Analytics 17–20 December 2021 in Bangalore, India PROGRAM CHAIRS HPC: Ana Lucia Varbanescu, University of Amsterdam, The Netherlands (a.l.varbanescu(a)uva.nl) Data Science: Yogesh Simmhan, Indian Institute of Science, India (simmhan(a)iisc.ac.in) PROGRAM VICE-CHAIRS HPC TRACKS Algorithms: Sanjukta Bhowmick, University of North Texas, USA Applications: Abhinav Bhatele, University of Maryland, USA Architecture: Michela Becchi, North Carolina State University, USA System Software: Sathish Vadhiyar, Indian Institute of Science, India DATA SCIENCE TRACKS Scalable Algorithms and Analytics: Zeyi Wen, University of Western Australia, Australia Scalable Systems and Software: Min Si, Argonne National Laboratory, USA HiPC 2021 will be the 28th edition of the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the six tracks listed under the two broad themes of High Performance Computing and Data Science. Up to two best paper awards will be given for outstanding contributed papers. HIGH PERFORMANCE COMPUTING Algorithms. This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models). Architecture. This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * High performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors); * Networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); * Memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications. This track invites papers that describe original research on the design and implementation of scalable and high performance applications for execution on parallel, distributed and accelerated platforms, and related advances. Examples of topics of interest include (but not limited to): * Shared and distributed memory parallel applications (e.g., scientific computing, simulation and visualization applications, graph and irregular applications, data-intensive applications, science/engineering/industry applications, emerging applications in IoT and life sciences, etc.); * Methods, algorithms, and optimizations for scaling applications on peta- and exa-scale platforms (e.g., co-design of hardware and software, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., GPUs, FPGA, vector processors, manycore); * Application benchmarks and workloads for parallel and distributed platforms. Systems Software. This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; * Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). SCALABLE DATA SCIENCE Scalable Algorithms and Analytics. This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): * New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); * Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); * Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); * Scalable algorithms that ensure the transparency and fairness of the analysis; * Case studies, experimental studies, and benchmarks for scalable algorithms and analytics; * Scaling and accelerating machine learning, deep learning, and computer vision applications. Scalable Systems and Software. This track invites papers that describe original research on developing scalable systems and software for handling data at scale and related advances. Examples of topics of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications) * Scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs). * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes). IMPORTANT DATES Abstract Submission Deadline: 8 July, 2021 Paper Submission Deadline: 16 July, 2021 (hard deadline) Notification of Initial Decisions: 27 September, 2021 Deadline for Revised Submission: 18 October, 2021 Notification of Final Decisions: 25 October, 2021 Camera Ready Due (for all accepted papers): 7 November, 2021 MANUSCRIPT AND SUBMISSION GUIDELINES Abstracts of no more than 300 words must be submitted by the abstract submission deadline. The title and abstract submitted by this deadline should have sufficient detail and not just be a placeholder. Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including figures, tables, and references. The submitted paper should list the authors and their affiliations. The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions here. Electronic submissions must be in the form of a readable PDF file. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers must be submitted under one of the 6 technical tracks listed above. The topics listed under each track are representative, but not exhaustive. A published proceeding will be available at the conference. Authors may contact the Program Chair at the email address above for further information or clarification. At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper in person is a requirement of publication for a physical conference. Depending on how the COVID-19 pandemic situation evolves, the presentation may be in person or in a virtual format. Details of these will be specified at the time of paper acceptance.[a] Any paper not meeting requirements will not be included in the conference proceedings under IEEE Xplore. Authors of selected high-quality papers in HiPC 2021 will be invited to submit extended versions of their papers for possible publication in a special issue of the Journal of Parallel and Distributed Computing. Submit your paper: https://easychair.org/conferences/?conf=hipc2021. REVIEW PROCESS All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Authors are highly encouraged to list the key contributions of their paper, for example in a separate paragraph in the introduction of the paper. The review process is “single-blind” (i.e., authors can list their names on the paper), and that there will be a rebuttal period. The initial decision for the submission may be Accept, Reject or Revise. Papers that are recommended for revision will have to address the comments from the reviewers, and submit a revised article along with a summary of changes. This will go through a light review and the final decision will be communicated.

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Reminder - CFP: Resilience@Euro-Par 2021 - Papers due June 14 (2nd extension)
by Thomas Naughton 07 Jun '21

07 Jun '21

14th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> in conjunction with the 27th International European Conference on Parallel and Distributed Computing (Euro-Par), Lisbon, Portugal August 30 - September 3, 2021 <http://2021.euro-par.org> Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), hardware complexity increases (such as due to heterogeneous computing) and software complexity increases (such as due to complex data- and workflows, real-time requirements and integration of artificial intelligence (AI) technologies with traditional applications). Correctness and execution efficiency, in spite of faults, errors, and failures, is essential to ensure the success of the HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. The impact of faults, errors, and failures in such HPC systems can range from financial losses due to system downtime (sometimes several tens-of-thousands of Dollars per lost system-hour), to financial losses due to unnecessary overprovision (acquisition and operating costs), to financial losses and legal liabilities due to erroneous or delayed output. The emergence of AI technology opens up new possibilities, but also new problems. Using AI technology for operational intelligence that enables resilience in HPC systems and centers is a complex control problem, while designing resilient AI technology for HPC applications is a difficult algorithmic problem. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, error/failure and anomaly detection, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient algorithms. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2021 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> - Resilience 2021 Submissions: <https://easychair.org/conferences/?conf=europar2021> (Select "WS06" Track) - Euro-Par 2021 website: <http://2021.euro-par.org> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Experience reports - Error/failure/anomaly detection and reliability/dependability modeling: - Statistical analyses - Machine learning and artificial intelligence - Digital twins - Data collection and aggregation - Information visualization - Monitoring and control for resilience: - Center, system and application monitoring and control - Reliability, availability, serviceability and performability - Tunable fidelity and quality of service - Automated response and recovery - Operational intelligence to enable resilience - End-to-end integrity: - Fault tolerant design of centers, systems and applications - Forward migration and verification - Degraded operation - Error propagation, failure cascades, and error/failure containment - Testing and evaluation, including fault/error/failure injection - Enabling infrastructure for resilience: - Reliability, availability, serviceability systems - System software and middleware - Resilience extensions for programming models - Tools and frameworks - Support for resilience in heterogeneous architectures - Resilient algorithms: - Algorithmic detection and correction - Resilient solvers and algorithm-based fault tolerance - Fault tolerant numerical methods - Robust iterative algorithms - Resilient artificial intelligence Important Dates: - Workshop papers due: June 14, 2021 (23:59 AoE) [2nd Extension] - Workshop author notification: June 30, 2021 - Workshop author registration: TBD - Workshop paper (for informal workshop proceedings, due in EasyChair): July 14, 2021 - Workshop date: August 30 or 31, 2021 - Workshop camera-ready papers: September 10, 2021 General Co-Chairs: - Stephen L. Scott Tennessee Tech University, USA scottsl(a)ornl.gov - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Co-Chairs: - Ferrol Aderholdt Middle Tennessee State University, USA ferrol.aderholdt(a)mtsu.edu - Thomas Naughton Oak Ridge National Laboratory , USA naughtont(a)ornl.gov Workshop Chair Emeritus: - Chokchai (Box) Leangsuksun Louisiana Tech University, USA box(a)latech.edu Program Committee: - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Saurabh Hukerikar, NVIDIA, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, Sandia National Laboratories, USA - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Technical University of Munich, Germany - Keita Teranishi, Sandia National Laboratories, USA _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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CFP - Workshop on Probabilistic Logic Programming (PLP 2021)
by Miguel Areias 07 Jun '21

07 Jun '21

========================================================================= CALL FOR PAPERS PLP 2021: The Eighth Workshop on Probabilistic Logic Programming http://stoics.org.uk/plp/plp2021 ========================================================================= A workshop of 37th International Conference on Logic Programming September 20-27, 2021 (the event will be virtual) ========================================================================= ** Deadline for submissions: August 1st 2021 Overview ******** Probabilistic logic programming (PLP) approaches have received much attention in this century. They address the need to reason about relational domains under uncertainty arising in a variety of application domains, such as bioinformatics, the semantic web, robotics, and many more. Developments in PLP include new languages that combine logic programming with probability theory, as well as algorithms that operate over programs in these formalisms. The workshop encompasses all aspects of combining logic, algorithms, programming and probability. PLP is part of a wider current interest in probabilistic programming. By promoting probabilities as explicit programming constructs, inference, parameter estimation and learning algorithms can be ran over programs which represent highly structured probability spaces. Due to logic programming's strong theoretical underpinnings, PLP is one of the more disciplined areas of probabilistic programming. It builds upon and benefits from the large body of existing work in logic programming, both in semantics and implementation, but also presents new challenges to the field. PLP reasoning often requires the evaluation of large number of possible states before any answers can be produced thus breaking the sequential search model of traditional logic programs. While PLP has already contributed a number of formalisms, systems and well understood and established results in: parameter estimation, tabling, marginal probabilities and Bayesian learning, many questions remain open in this exciting, expanding field in the intersection of AI, machine learning and statistics. This workshop provides a forum for the exchange of ideas, presentation of results and preliminary work, in the following areas * probabilistic logic programming formalisms * parameter estimation * statistical inference * implementations * structure learning * reasoning with uncertainty * constraint store approaches * stochastic and randomised algorithms * probabilistic knowledge representation and reasoning * constraints in statistical inference * applications, such as * * bioinformatics * * semantic web * * robotics * probabilistic graphical models * Bayesian learning * tabling for learning and stochastic inference * MCMC * stochastic search * labelled logic programs * integration of statistical software This list is by no means exhaustive. Purpose ******** After seven successful editions of this workshop, the eighth edition of PLP will be held at the ICLP virtual conference organised by the University of Porto. We hope that this encourages further collaboration between researchers in PLP and researchers working in other areas of ICLP. Submissions *********** Submissions will be managed via EasyChair (to be announced). Contributions should be prepared in the LNCS style. A mixture of papers are sought including: new results; work in progress; and technical summaries of recent substantial contributions. Papers presenting new results should be 6-15 pages in length. Work in progress and technical summaries can be shorter (2-5 pages). The workshop proceedings will clearly indicate the type of each paper. At least one author of each accepted paper will be required to attend the workshop to present the contribution. Publication *********** Informal proceedings will be made available electronically to attendees and submitted to CEUR Workshop Proceedings repository (http://ceur-ws.org/). The proceedings will consist of clearly marked sections corresponding to the different types of submissions accepted. Deadlines ********* Papers due: August 1st, 2021 Notification to authors: September 1st, 2021 Camera ready version due: September 10th, 2021 Workshop date: September 20-27, 2021 (all dates are AoE) Invited Speaker(s) ****************** TBA Programme Committee Chairs ************************** Rafael Penaloza (University of Milano-Bicocca, Italy) Felix Weitkämper (LMU München, Germany) Programme Committee ******************* TBA =========================================================================

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The IEEE Technical Committee on Cloud Computing (TCCLD) Webinar, June 15, 2021 at 12pm CET (Online Free Event)
by Bahman Javadi 04 Jun '21

04 Jun '21

The IEEE Technical Committee on Cloud Computing (TCCLD) is organising a webinar on June 15th, 2021 at 12pm CET. The aim of the webinar is to support researchers and students with an interest in the areas of Cloud/Edge/Fog for fostering discussions with experts. Given the current limitations to organise face-to-face conferences, we plan to keep the research community connected and engaged with emerging research topics. The first seminar for 2021 will focus on “Future Directions in Cloud/Edge/Fog Computing”. Webpage: https://tc.computer.org/tccld/ieee-tccld_webinar-2121/ Date and time: 15 June, 2021, 12pm CET Academic Presenter: Prof. Schahram Dustdar, TU Wien, Austria Industry Presenter: Dr Paul Harvey, Rakuten Mobile, Japan Moderators/Contributors: A/Prof. Bahman Javadi, Western Sydney University, Australia Dr. Blesson Varghese, Queen's University Belfast, UK Agenda: Academic Presentation (20 min) Questions/Answers (10 min) Industry Presentation (20 min) Questions/Answers (10 min) Open Discussions (50 min) Wrap-up (10 min) Registration: https://docs.google.com/forms/d/1mjZ_DNWltJxWYfj1xVeWsLojJNrB6MdRXdxnntT5CT…

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CFP - Workshop on Causal Reasoning and Explanation in Logic Programming (CAUSAL 2021)
by Miguel Areias 03 Jun '21

03 Jun '21

========================================================================= CALL FOR PAPERS CAUSAL 2021: Workshop on Causal Reasoning and Explanation in Logic Programming https://sites.google.com/view/causal2021/ ========================================================================= A workshop of 37th International Conference on Logic Programming September 20-27, 2021 (the event will be virtual) ========================================================================= Important Dates *************** * Paper submission: July 17th 2021 * Notification: July 31st 2021 * Final Versions: August 15th 2021 * Workshop Date: TBA (in September 20-27, 2021) Overview ******** Sophisticated causal reasoning has long been prevalent in human society and continues to have an undeniable impact on the advancement of science, technology, medicine, and other significant fields. From the development of ancient tools to modern roots of causal analysis in business and industry, reasoning about causality and having the ability to explain causal mechanisms enables us to identify how an outcome of interest came to be and gives insight into how to bring about, or even prevent, similar outcomes in future scenarios. This workshop aims to bring together researchers and practitioners of logic programming with a dedicated focus on methods and trends emerging from the study of causality and explanation. We welcome the submission of papers on systems, tools, and applications of logic programming methods for causal reasoning and explanation. In particular, we encourage submissions presenting recent developments, including works in progress. The workshop will present the latest research and application developments in these areas and provide opportunities to discuss current and future research directions and relationships to other fields (e.g. Machine Learning, Diagnosis, Natural Language Processing and Understanding, Philosophy of Science). An important expected outcome of this workshop is to collect first-hand feedback from the ICLP community about the role and placement of causal reasoning and explanation in the landscape of modern computer theory as well as in the software industry. Topics of interests include (but are not limited to): ***************************************************** * Modeling causal theories in logic programming * Formalization of types of causes: sufficient, necessary, actual, etc * Causality, temporal reasoning and action theories * Causality and counterfactual reasoning * Causality, learning and experimental design * Causality and probability * Causality and equivalence * Causality and ontology * Learning causal relations and information * Novel causal benchmarks * Relating LP based causality and Causal Networks * Challenging problems and benchmark examples * Justifications and argumentation * Explainable AI * Explanations for diagnosis and debugging * Tools, systems and applications Submissions must describe original research and be prepared using the Springer LNAI/LNCS format, available at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… The workshop invites submissions of two types: * Full papers not exceeding 13 pages (excluding references) * Extended abstracts not exceeding 3 pages (excluding references) Please submit your paper via EasyChair: https://easychair.org/conferences/?conf=causal2021 At least one co-author of each accepted paper must register for and attend the workshop. Please check the ICLP 2021 website (https://iclp2021.dcc.fc.up.pt/) for registration procedure and fees. We are planning to publish a special issue with selected workshop papers. Organizers ********** * Emily LeBlanc, US Naval Research Lab, USA (emily.leblanc(a)nrl.navy.mil) * Joost Vennekens, KU Leuven, Belgium * Tran Cao Son, New Mexico State University, USA * Pedro Cabalar, Corunna University, Spain * Jorge Fandiño, University of Nebraska at Omaha, USA * Marcello Balduccini, Saint Joseph's University, USA * Yuliya Lierler, University of Nebraska at Omaha, USA =========================================================================

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Press Release - AEiC 2021, Ada-Europe Reliable Softw. Technol.
by Dirk.Craeynest＠cs.kuleuven.be 30 May '21

30 May '21

----------------------------------------------------------------------- FINAL Call for Participation *** UPDATED Program Summary *** 25th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2021) 7-10 June 2021, Virtual Event www.ada-europe.org/conference2021 *** Check out tutorials! *** www.ada-europe.org/conference2021/tutorials.html *** Don't miss the thematic social events on Tuesday and Wednesday *** *** Full Program available on the conference web site *** *** Register now! *** #AEiC2021 #AdaEurope #AdaProgramming ----------------------------------------------------------------------- Press release: 25th Ada-Europe Int'l Conference on Reliable Software Technologies International experts meet in virtual conference hosted by Underline Santander, Spain (31 May 2021) - Ada-Europe together with the University of Cantabria, Spain organize from 7 to 10 June 2021 the 25th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2021). The conference was initially scheduled to take place in Santander, Spain. According to the safety and sanitary measures under the COVID-19 pandemic, this year the conference will be a virtual event, hosted by Underline (https://underline.io). The event is in cooperation with the Ada Resource Association (ARA), and with ACM's Special Interest Groups on Ada (SIGAda), on Embedded Systems (SIGBED) and on Programming Languages (SIGPLAN). The Ada-Europe series of conferences has over the years become a leading international forum for providers, practitioners and researchers in reliable software technologies. These events highlight the increased relevance of Ada in general and in safety- and security-critical systems in particular, and provide a unique opportunity for interaction and collaboration between academics and industrial practitioners. This year's conference offers 5 tutorials, 3 keynotes, a technical program of 7 sessions with refereed papers, invited and industrial presentations, a work-in-progress session, an industrial exhibition and vendor presentations, and a social program. Five parallel tutorials are scheduled on Monday, targeting different audiences: - "Programming mobile robots with ROS2 and the RCLAda Ada client library", by Alejandro R. Mosteo; - "Introduction to the development of safety critical software", by Jean-Pierre Rosen; - "Parallel programming with Ada and OpenMP", by Sara Royuela, S. Tucker Taft, Luis Miguel Pinho; - "Timing verification from UML & MARTE design models: techniques & tools", by Laurent Rioux, Julio Medina and Shuai Li; - "Programming shared memory computers", by Jan Verschelde. Tutorial registration is complementary for conference participants. The industrial exhibition opens Tuesday under the Expo area in the virtual platform and also in the Lounge, which is the networking area. It runs until the end of Thursday afternoon. Exhibitors include AdaCore, PTC Developer Tools, and Ada-Europe. All conference participants are invited to the exhibition as well as to the virtual social events. Three eminent speakers have been invited to deliver a keynote at each of the core conference days: - Ángel Conde, Data Analytics and Artificial Intelligence team leader at IKERLAN (Spain), who will present his work on "Software reliability in the Big Data era with an industry-minded focus"; - Alfons Crespo, who is with the Institute of Automation and Industrial Informatics of the Universitat Politècnica de València (Spain), will give an answer to the question "Why hypervisor-based approach is the best alternative for mixed-criticality systems"; - Tucker Taft, who is Director of Language Research at AdaCore (USA), will talk on "A sampling of Ada 2022". The technical program from Tuesday to Thursday presents 13 refereed technical papers and 5 invited, 6 industrial and 4 vendor presentations in sessions on: - Scheduling and mixed-criticality systems, - Software modeling, - Autonomous systems, - Ada issues and Ravenscar, - Validation and verification tools, - Emerging applications with reliability requirements, - Safety challenges. In addition, there is a work-in-progress session including 8 presentations and associated posters. Peer-reviewed papers have been submitted to a special issue of the Journal of Systems Architecture and are heading towards final acceptance as open-access publications. Industrial and work-in-progress presentations, together with tutorial abstracts, will be offered publication in the Ada User Journal, the quarterly magazine of Ada-Europe. The social program is hosted in a space under the gather.town environment that allows informal and lively gathering of the participants. This space has different areas, such as rooms, tables, and corners where a participant can approach to talk though videoconferencing with participants in the same virtual area. This facility will be used for the breaks, poster session, exhibition and social events. Don't miss the thematic social events at the end of each core conference day. The Best Presentation Award will be offered during the Closing session. The full program is available on the conference web site. Online registration is still possible. ------- Latest updates: The "Final Program" is available at www.ada-europe.org/conference2021/final-program.pdf. Check out the tutorials in the PDF program, or in the schedule at www.ada-europe.org/conference2021/tutorials.html. Registration fees are lower than ever and the registration process is done on-line. Don't delay! For all details, select "Registration" at www.ada-europe.org/conference2021 or go directly to https://registration.ada-europe.org. The technical sessions are designed with the flipped-conference concept, where the audience can access pre-recorded presentation materials in advance. The live sessions are devoted to short presentations of the highlights of each contribution, allowing ample time for questions and answers with the presenter. The recorded materials will also be available for some time after their sessions. The program runs between 12:30 and 18:30 CEST, to allow participation from different time zones. For more info and latest updates see the conference web site at www.ada-europe.org/conference2021. AEiC 2021 is sponsored by AdaCore (www.adacore.com), Ellidiss (www.ellidiss.com), PTC Developer Tools (www.ptc.com/developer-tools), Universidad de Cantabria (web.unican.es/en), and Vector (www.vector.com/at/en). Help promote the conference by advertising it. Recommended Twitter hashtags: #AdaEurope and/or #AEiC2021. ----------------------------------------------------------------------- Our apologies if you receive multiple copies of this announcement. Please circulate widely. Dirk Craeynest, AEiC 2021 Publicity Chair (aka Ada-Europe 2021), Dirk.Craeynest(a)cs.kuleuven.be * 25th Ada-Europe Int. Conf. Reliable Software Technologies (AEiC 2021) * June 7-10, 2021 * online event * www.ada-europe.org/conference2021 **

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SARL Agent Programming Language 0.12
by Stéphane Galland 28 May '21

28 May '21

Dear Colleagues. The version 0.12 of the SARL Agent Programming Language is release ( http://www.sarl.io) This language enables you to create an application with agent-oriented concepts, inspired by the ASPECS methodology and the CRIO metamodel. Changes are listed in: http://www.sarl.io/download/changes_0.12.html Have fun. Prof. Dr Stéphane GALLAND

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Call For Short Papers - 37th International Conference on Logic Programming (ICLP 2021)
by Miguel Areias 26 May '21

26 May '21

========================================================================= CALL FOR SHORT PAPERS The 37th International Conference on Logic Programming (ICLP 2021) ========================================================================= We are pleased to announce our distinguished invited speakers. ** William W. Cohen, Google AI ** John Hooker, CMU ** Phokion Kolaitis, UC Santa Cruz and IBM Almaden ** Stuart Russell, UC Berkeley ** Jeffrey Ullman, Stanford University ========================================================================= Contributions are sought in all areas of logic programming, including but not restricted to: ** Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. ** Languages issues: Concurrency, Objects, Coordination, Mobility, Higher order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming techniques. ** Programming support: Program analysis, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. ** Implementation: Compilation, Virtual machines, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and coinductive logic programming, Constraint logic programming, Answer set programming, Interaction with SAT, SMT and CSP solvers, Theorem proving, Argumentation, Probabilistic programming, Machine learning. ** Applications: Databases, Big data, Data integration and federation, Software engineering, Natural language processing, Web and semantic web, Agents, Artificial intelligence, Computational life sciences, Cybersecurity, Robotics, Education. Important Dates *************** ** Short Paper Submission: July 4, 2021 ** Notification: July 30, 2021 ** Camera-ready copy due: August 10, 2021 ** Conference: September 20--27, 2021 Submission Details ****************** Expected submissions must follow the instructions: ** Short papers (7 pages in EPTCS format (http://info.eptcs.org/), including references) can describe published research. The accepted short papers that describe original and previously unpublished work will be published as technical communications, along with the selected ICLP technical communications papers. The accepted short papers that describe published research will be made available at the conference webpage, with the permission of the authors. All submissions must be written in English. Accepted technical communications will be presented during the conference. Authors of accepted technical communications will, by default, be automatically included in the list of ALP members, who will receive quarterly updates from the Logic Programming Newsletter at no cost. Submissions will be done via EasyChair. The submission Web page for ICLP2021 is https://easychair.org/conferences/?conf=iclp2021 More details ************ https://iclp2021.dcc.fc.up.pt Any additional question can be directed towards ICLP Chairs: iclp2021(a)easychair.org =========================================================================

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[SIGKDD Workshop on Mining and Learning from Time Series 2021]: Call for papers
by Sanjay Purushotham 25 May '21

25 May '21

CFP: 2021 SIGKDD Workshop on Mining and Learning from Time Series [apologies for cross-posting] CFP Webpage: https://kdd-milets.github.io/milets2021/#call* (Deadline: June 1, 2021)* -------------------------------------------------------------- 7th SIGKDD Workshop on Mining and Learning from Time Series (MiLeTS) 2021 Aug 14th, 2021 - KDD Virtual Conference https://kdd-milets.github.io/milets2021/ -------------------------------------------------------------- ---------------- KEY DATES ---------------- *Paper Submission Deadline: June 1, 2021, 11:59PM Alofi Time*Author Notification: June 28, 2021 Camera Ready Version: July 5, 2021 Workshop: August 14th, 2021 ------------------------------------------------- MiLeTS is the premier KDD workshop on Mining and Learning from Time Series. Time series data are ubiquitous. In domains as diverse as finance, entertainment, transportation, and health care, we observe a fundamental shift away from parsimonious, infrequent measurement to nearly continuous monitoring and recording. Rapid advances in diverse sensing technologies, ranging from remote sensors to wearables and social sensing, are generating rapid growth in the size and complexity of time series archives. Thus, although time series analysis has been studied extensively, its importance only continues to grow. What is more, modern time series data pose significant challenges to existing techniques (e.g., irregular sampling in hospital records and spatiotemporal structure in climate data). Finally, time series mining research is challenging and rewarding because it bridges a variety of disciplines and demands interdisciplinary solutions. Now is the time to discuss the next generation of temporal mining algorithms. The focus of MiLeTS workshop is to synergize the research in this area and discuss both new and open problems in time series analysis and mining. The solutions to these problems may be algorithmic, theoretical, statistical, or systems-based in nature. Further, MiLeTS emphasizes applications to high impact or relatively new domains, including but not limited to biology, health and medicine, climate and weather, road traffic, astronomy, and energy. The MiLeTS workshop will discuss a broad variety of topics related to time series, including: · Time series pattern mining and detection, representation, searching and indexing, classification, clustering, prediction, forecasting, and rule mining. · BIG time series data. · Hardware acceleration techniques using GPUs, FPGAs and special processors. · Online, high-speed learning and mining from streaming time series. · Uncertain time series mining. · Privacy preserving time series mining and learning. · Time series that are multivariate, high-dimensional, heterogeneous, etc., or that possess other atypical properties. · Time series with special structure: spatiotemporal (e.g., wind patterns at different locations), relational (e.g., patients with similar diseases), hierarchical, etc. · Time series with sparse or irregular sampling, non-random missing values, and special types of measurement noise or bias. · Time series analysis using less traditional approaches, such as deep learning and subspace clustering. · Applications to high impact or relatively new time series domains, such as health and medicine, road traffic, and air quality. · New, open, or unsolved problems in time series analysis and mining. ------------------------------ Submission Guidelines ------------------------------ Submissions should follow the SIGKDD formatting requirements and will be evaluated using the SIGKDD Research Track evaluation criteria. Preference will be given to papers that are reproducible, and authors are encouraged to share their data and code publicly whenever possible. Submissions are strongly recommended to be no more than 4 pages, excluding references or supplementary materials (all in a single pdf). The appropriateness of using additional pages over the recommended length will be judged by reviewers. All submissions must be in pdf format using the workshop template (latex, word). Submissions will be managed via the MiLeTS 2021 EasyChair website: https://easychair.org/conferences/?conf=milets2021. *Note on open problem submissions:* To promote new and innovative research on time series, we plan to accept a small number of high-quality manuscripts describing open problems in time series analysis and mining. Such papers should provide a clear, detailed description and analysis of a new or open problem that poses a significant challenge to existing techniques, as well as a thorough empirical investigation demonstrating that current methods are insufficient. *COVID-19 Time Series Analysis Special Track:* The COVID-19 pandemic is impacting almost everyone worldwide and is expected to have life-altering short and long-term effects. There are many potential applications of time series analysis and mining that can contribute to the understanding of this pandemic. We encourage the submission of high-quality manuscripts describing original problems, time-series datasets, and novel solutions for time series analysis and forecasting of COVID-19. The review process is single-round and double-blind (submission files have to be anonymized). Concurrent submissions to other journals and conferences are acceptable. Accepted papers will be presented as posters during the workshop and listed on the website. Besides, a small number of accepted papers will be selected to be presented as contributed talks. Any questions may be directed to the workshop e-mail address: kdd.milets(a)gmail.com. ----------------- KEY DATES ----------------- *Paper Submission Deadline: June 1, 2021, 11:59PM Alofi Time*Author Notification: June 28, 2021 Camera Ready Version: July 5, 2021 Workshop: August 14th, 2021 ------------------------------- Organizing Committee ------------------------------- Sanjay Purushotham University of Maryland, Baltimore County Yaguang Li Google Zhengping Che Didi Chuxing -------------------------- Steering Committee -------------------------- Eamonn Keogh University of California Riverside Yan Liu University of Southern California Abdullah Mueen University of New Mexico ------------- Contact: -------------- Any questions may be directed to the workshop e-mail address: kdd.milets(a)gmail.com.

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Deadlines Approaching - IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2021
by Sanmukh Kuppannagari 24 May '21

24 May '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science, HiPC 2021: Deadlines Approaching Abstract Submission Deadline: 4 June, 2021 Paper Submission Deadline: 11 June, 2021 For more details, please visit: https://hipc.org/call-for-papers/

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CFP - 17th Doctoral Consortium (DC) on Logic Programming (ICLP-DC 2021)
by Miguel Areias 21 May '21

21 May '21

========================================================================= CALL FOR PAPERS ICLP DC 2021 - 17th Doctoral Consortium (DC) on Logic Programming ========================================================================= The 17th Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. The preliminary website of the DC can be found at: https://sites.google.com/view/iclp-dc-2021/iclp-2021-doctoral-consortium The DC will take place during the 37th International Conference on Logic Programming (ICLP) https://iclp2021.dcc.fc.up.pt (September 20-27, 2021), as a fully virtual event. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. Important Dates *************** Paper submission: July 15, 2021 Notification: August 01, 2021 Camera-ready copy: August 10, 2021 DC presentations: TBA (fully virtual event) DC students are highly recommended to attend the Autumn School on Logic Programming and Constraint Programming (https://sites.google.com/view/iclp-dc-2021/autumn-school-on-logic-programmi…). Audience ******** The DC is designed for students currently enrolled in a Ph.D. program, though we are also open to exceptions (e.g., students currently in a Master's program and interested in doctoral studies). Students at any stage in their doctoral studies are encouraged to apply for participation in the DC. Applicants are expected to conduct research in areas related to logic and constraint programming; topics of interest include (but are not limited to): ** Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. ** Languages: Concurrency, Objects, Coordination, Mobility, Higher Order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming Techniques. ** Declarative programming: Declarative program development, Analysis, Type and mode inference, Partial evaluation, Abstract interpretation, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. ** Implementation: Virtual machines, Compilation, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and Co-inductive Logic Programming, Constraint Logic Programming, Answer Set Programming, Interaction with SAT, SMT and CSP solvers, Logic programming techniques for type inference and theorem proving, Argumentation, Probabilistic Logic Programming, Relations to object-oriented and Functional programming. ** Applications: Databases, Big Data, Data integration and federation, Software engineering, Natural language processing, Web and Semantic Web, Agents, Artificial intelligence, Computational life sciences, Education, Cybersecurity, and Robotics. Submissions by students who have presented their work at previous ICLP DC editions are allowed, but should occur only if there are substantial changes or improvements to the student's work. The DC offers participants a convenient, more informal way to interact with established researchers and fellow students, through presentations, question-answer sessions, panel discussions, and invited presentations. The Doctoral Consortium will also provide the possibility to reflect - through short activities, information sessions, and discussions - on the process and lessons of research and life in academia. Each participant will give a short, critiqued, research presentation. Discussants *********** Renowned experts and researchers in the fields of logic and constraint programming will join in evaluating submissions and will participate in the DC, providing valuable feedback to DC participants. Goals ***** ** To provide doctoral students working in the fields of logic and constraint programming with a friendly and open forum to present their research ideas, listen to ongoing work from peer students, and receive constructive feedback. ** To provide students with relevant information about important issues for doctoral candidates and future academics. ** To develop a supportive community of scholars and a spirit of collaborative research. ** To support a new generation of researchers with information and advice on academic, research, industrial, and non-traditional career paths. Submission Details ****************** Submissions of the research summary must be made in EPTCS format (http://info.eptcs.org/) and submitted via EasyChair. All papers must be written in English and should be between 5 and 10 pages. For all accepted DC papers, the student is required to attend the DC program and give a presentation during the DC. A program committee consisting of experts in various areas related to logic and constraint programming reviews the submissions. Papers are reviewed by at least two, and usually three, referees. The submission package should consist of the research summary in the format mentioned above, a short vita or cover letter of the applicant, a letter of recommendation from applicant's faculty advisor, and one paragraph statement outlining how the school will benefit the applicant. All material is to be submitted electronically, in PDF format on the Easychair system. Easychair link: https://easychair.org/conferences/?conf=iclp2021 (Doctoral Consortium track) Research summary (make sure to include your complete name, address, and affiliation): The body of your research summary (no more than 10 pages, but 5 is fine as well!) should provide a clear overview of your research, its potential impact, and its current status. You are encouraged to include the following sections: ** Introduction and problem description ** Background and overview of the existing literature ** Goal of the research ** Current status of the research ** Preliminary results accomplished (if any) ** Open issues and expected achievements ** Bibliographical references Review Criteria *************** The DC program committee will select participants based on their anticipated contribution to the DC objectives. Participants typically have settled on their thesis directions and have their research proposal accepted by their thesis committee. Students will be selected based on clarity and completeness of their submission package, relevance of their research area w.r.t. the focus of ICLP, stage of research, recommendation letter, and evidence of promise towards a successful career in research and academia, such as published papers or technical reports. Registration ************ Registration is part of the ICLP 2021 registration. Registration costs for ICLP will be lower than usual since it is virtual this year. We aim to find sponsoring to cover the registration cost of students participating in the DC, but this still has to be confirmed. Program co-chairs ***************** Bart Bogaerts, Vrije Universiteit Brussel Carmine Dodaro, University of Calabria Program Committee ***************** Daniela Inclezan, Miami University OH Johannes Fichte, TU Dresden Fabio Fioravanti, University of Chieti-Pescara Gregory Gelfond, University of Nebraska at Omaha Zeynep G. Saribatur, Vienna University of Technology Frank Valencia, LIX, Ecole Polytechnique Matthias Van der Hallen, KU Leuven Yi Wang, Arizona State University Jessica Zangari, University of Calabria

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CFP: Resilience@Euro-Par 2021 - Papers due June 14 (2nd extension)
by Thomas Naughton 18 May '21

18 May '21

14th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> in conjunction with the 27th International European Conference on Parallel and Distributed Computing (Euro-Par), Lisbon, Portugal August 30 - September 3, 2021 <http://2021.euro-par.org> Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), hardware complexity increases (such as due to heterogeneous computing) and software complexity increases (such as due to complex data- and workflows, real-time requirements and integration of artificial intelligence (AI) technologies with traditional applications). Correctness and execution efficiency, in spite of faults, errors, and failures, is essential to ensure the success of the HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. The impact of faults, errors, and failures in such HPC systems can range from financial losses due to system downtime (sometimes several tens-of-thousands of Dollars per lost system-hour), to financial losses due to unnecessary overprovision (acquisition and operating costs), to financial losses and legal liabilities due to erroneous or delayed output. The emergence of AI technology opens up new possibilities, but also new problems. Using AI technology for operational intelligence that enables resilience in HPC systems and centers is a complex control problem, while designing resilient AI technology for HPC applications is a difficult algorithmic problem. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, error/failure and anomaly detection, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient algorithms. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2021 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> - Resilience 2021 Submissions: <https://easychair.org/conferences/?conf=europar2021> (Select "WS06" Track) - Euro-Par 2021 website: <http://2021.euro-par.org> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Experience reports - Error/failure/anomaly detection and reliability/dependability modeling: - Statistical analyses - Machine learning and artificial intelligence - Digital twins - Data collection and aggregation - Information visualization - Monitoring and control for resilience: - Center, system and application monitoring and control - Reliability, availability, serviceability and performability - Tunable fidelity and quality of service - Automated response and recovery - Operational intelligence to enable resilience - End-to-end integrity: - Fault tolerant design of centers, systems and applications - Forward migration and verification - Degraded operation - Error propagation, failure cascades, and error/failure containment - Testing and evaluation, including fault/error/failure injection - Enabling infrastructure for resilience: - Reliability, availability, serviceability systems - System software and middleware - Resilience extensions for programming models - Tools and frameworks - Support for resilience in heterogeneous architectures - Resilient algorithms: - Algorithmic detection and correction - Resilient solvers and algorithm-based fault tolerance - Fault tolerant numerical methods - Robust iterative algorithms - Resilient artificial intelligence Important Dates: - Workshop papers due: June 14, 2021 (23:59 AoE) [2nd Extension] - Workshop author notification: June 30, 2021 - Workshop author registration: TBD - Workshop paper (for informal workshop proceedings, due in EasyChair): July 14, 2021 - Workshop date: August 30 or 31, 2021 - Workshop camera-ready papers: September 10, 2021 General Co-Chairs: - Stephen L. Scott Tennessee Tech University, USA scottsl(a)ornl.gov - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Co-Chairs: - Ferrol Aderholdt Middle Tennessee State University, USA ferrol.aderholdt(a)mtsu.edu - Thomas Naughton Oak Ridge National Laboratory , USA naughtont(a)ornl.gov Workshop Chair Emeritus: - Chokchai (Box) Leangsuksun Louisiana Tech University, USA box(a)latech.edu Program Committee: - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Saurabh Hukerikar, NVIDIA, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, Sandia National Laboratories, USA - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Technical University of Munich, Germany - Keita Teranishi, Sandia National Laboratories, USA _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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Live e-Lecture by Prof. John Shawe-Taylor: “An Introduction to PAC-Bayesian Analysis”, 18th May 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 12 May '21

12 May '21

Dear AI scientist/engineer/student/enthusiast, Prof. John Shawe-Taylor (University College London, UK), a prominent AI researcher internationally, will deliver the e-lecture: ‘An Introduction to PAC-Bayesian Analysis’, on Tuesday 18th May 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: <http://www.i-aida.org/ai-lectures/> http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: <https://authgr.zoom.us/j/98708421450> https://authgr.zoom.us/j/98708421450 & Passcode: 148148 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media, <https://www.elise-ai.eu/> ELISE, <https://www.humane-ai.eu/> Humane AI Net, <https://tailor-network.eu/> TAILOR, <https://www.vision4ai.eu/> VISION, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists <https://lists.auth.gr/sympa/info/aida> AIDA email list and <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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[SIGKDD Workshop on Mining and Learning from Time Series 2021]: Call for papers
by Sanjay Purushotham 11 May '21

11 May '21

Dear colleagues and researchers, CFP Webpage: https://kdd-milets.github.io/milets2021/#call -------------------------------------------------------------- *7th SIGKDD Workshop on Mining and Learning from Time Series (MiLeTS) 2021Aug 14th, 2021 - KDD Virtual Conference* https://kdd-milets.github.io/milets2021/ -------------------------------------------------------------- ---------------- KEY DATES ---------------- *Paper Submission Deadline: May 20th, 2021, 11:59PM Alofi Time* Author Notification: June 10th, 2021 Camera Ready Version: June 24th, 2021 Workshop: August 14th, 2021 ------------------------------------------------- MiLeTS is the premier KDD workshop on Mining and Learning from Time Series. Time series data are ubiquitous. In domains as diverse as finance, entertainment, transportation, and health care, we observe a fundamental shift away from parsimonious, infrequent measurement to nearly continuous monitoring and recording. Rapid advances in diverse sensing technologies, ranging from remote sensors to wearables and social sensing, are generating rapid growth in the size and complexity of time series archives. Thus, although time series analysis has been studied extensively, its importance only continues to grow. What is more, modern time series data pose significant challenges to existing techniques (e.g., irregular sampling in hospital records and spatiotemporal structure in climate data). Finally, time series mining research is challenging and rewarding because it bridges a variety of disciplines and demands interdisciplinary solutions. Now is the time to discuss the next generation of temporal mining algorithms. The focus of MiLeTS workshop is to synergize the research in this area and discuss both new and open problems in time series analysis and mining. The solutions to these problems may be algorithmic, theoretical, statistical, or systems-based in nature. Further, MiLeTS emphasizes applications to high impact or relatively new domains, including but not limited to biology, health and medicine, climate and weather, road traffic, astronomy, and energy. The MiLeTS workshop will discuss a broad variety of topics related to time series, including: · Time series pattern mining and detection, representation, searching and indexing, classification, clustering, prediction, forecasting, and rule mining. · BIG time series data. · Hardware acceleration techniques using GPUs, FPGAs and special processors. · Online, high-speed learning and mining from streaming time series. · Uncertain time series mining. · Privacy preserving time series mining and learning. · Time series that are multivariate, high-dimensional, heterogeneous, etc., or that possess other atypical properties. · Time series with special structure: spatiotemporal (e.g., wind patterns at different locations), relational (e.g., patients with similar diseases), hierarchical, etc. · Time series with sparse or irregular sampling, non-random missing values, and special types of measurement noise or bias. · Time series analysis using less traditional approaches, such as deep learning and subspace clustering. · Applications to high impact or relatively new time series domains, such as health and medicine, road traffic, and air quality. · New, open, or unsolved problems in time series analysis and mining. ------------------------------ Submission Guidelines ------------------------------ Submissions should follow the SIGKDD formatting requirements and will be evaluated using the SIGKDD Research Track evaluation criteria. Preference will be given to papers that are reproducible, and authors are encouraged to share their data and code publicly whenever possible. Submissions are strongly recommended to be no more than 4 pages, excluding references or supplementary materials (all in a single pdf). The appropriateness of using additional pages over the recommended length will be judged by reviewers. All submissions must be in pdf format using the workshop template (latex, word). Submissions will be managed via the MiLeTS 2021 EasyChair website: https://easychair.org/conferences/?conf=milets2021. *Note on open problem submissions:* To promote new and innovative research on time series, we plan to accept a small number of high-quality manuscripts describing open problems in time series analysis and mining. Such papers should provide a clear, detailed description and analysis of a new or open problem that poses a significant challenge to existing techniques, as well as a thorough empirical investigation demonstrating that current methods are insufficient. *COVID-19 Time Series Analysis Special Track:* The COVID-19 pandemic is impacting almost everyone worldwide and is expected to have life-altering short and long-term effects. There are many potential applications of time series analysis and mining that can contribute to the understanding of this pandemic. We encourage the submission of high-quality manuscripts describing original problems, time-series datasets, and novel solutions for time series analysis and forecasting of COVID-19. The review process is single-round and double-blind (submission files have to be anonymized). Concurrent submissions to other journals and conferences are acceptable. Accepted papers will be presented as posters during the workshop and listed on the website. Besides, a small number of accepted papers will be selected to be presented as contributed talks. Any questions may be directed to the workshop e-mail address: kdd.milets(a)gmail.com. ----------------- KEY DATES ----------------- *Paper Submission Deadline: May 20th, 2021, 11:59PM Alofi Time* Author Notification: June 10th, 2021 Camera Ready Version: June 24th, 2021 Workshop: August 14th, 2021 ------------------------------- Organizing Committee ------------------------------- Sanjay Purushotham University of Maryland, Baltimore County Yaguang Li Google Zhengping Che Didi Chuxing -------------------------- Steering Committee -------------------------- Eamonn Keogh University of California Riverside Yan Liu University of Southern California Abdullah Mueen University of New Mexico ------------- Contact: -------------- Any questions may be directed to the workshop e-mail address: kdd.milets(a)gmail.com.

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ML4PM 2021 - Second International Workshop on Leveraging Machine Learning in Process Mining
by Paolo Ceravolo 10 May '21

10 May '21

3rd International Conference on Process Mining, October 31-November 4, 2021, Eindhoven, the Netherlands # ML4PM 2021 ## SECOND INTERNATIONAL WORKSHOP ON LEVERAGING MACHINE LEARNING IN PROCESS MINING ### October 31-November 4, 2021, Eindhoven, the Netherlands [http://ml4pm2021.di.unimi.it](http://ml4pm2021.di.unimi.it) ### AN ACTIVITY FROM THE [IEEE TASK FORCE ON PROCESS MINING](https://www.win.tue.nl/ieeetfpm/doku.php?id=start) ## About ML4PM The interest in combining Machine Learning and Process Mining has seen increasing growth in the last few years along with the relevance of the ICPM conference. Thus, this workshop offers a focused environment to discuss new approaches, applications and their results to a wide audience, composed of researchers and practitioners. ML4PM will be held in Eindhoven, in conjunction with the ICPM conference. ### Call for Papers This workshop invites papers that present works that lay in the intersection between machine learning and process mining. The event provides a suitable environment to discuss new approaches presented by researchers and practitioners. Main themes include automated process modeling, predictive process mining, application of deep learning techniques and online process mining. The workshop will count with leading researchers, engineers and scientists who are actively working on these topics. ### Topics Topics of interest for submission include, but are not limited to: * Outcome and time prediction * Classification and clusterization of business processes * Application of Deep Learning for PM * Stream mining for online process environments * Anomaly detection for PM * Natural Language Processing and Text Mining for PM * Multi-perspective analysis of processes * Machine Learning for robot process automation * Automated process modeling and updating * Conformance checking based on Machine Learning * Transfer Learning applied to business processes * IoT business services leveraged by Machine Learning * Multidimensional Process Mining * Predictive Process Mining * Prescriptive Learning in Process Mining * Convergence of Machine Learning and Blockchain in Process Mining ### Submission Guidelines Contributions to all calls should be submitted electronically to the Workshop management system connecting to [https://easychair.org/my/conference?conf=icpm2021](https://easychair.org/my…. At least one author of each accepted paper is expected to participate in the conference and present his/her work. Submissions must be original contributions that have not been published previously. Authors are requested to prepare submissions according to the format of the Lecture Notes in Business Information Processing (LNBIP) series by Springer [href="http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0](http://www.sp…. Submissions must be in English and must not exceed 12 pages (including figures, bibliography and appendices). Each paper should contain a short abstract, clarifying the relation of the paper with the workshop topics, clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to the literature. > > **Registrations** are managed by the [ICPM system](https://icpmconference.org/2021/registration/) > ### Important Dates | Milestone | Deadline| | ------ | ------ | | Abstract Submission| August 19, 2021| | Paper Submission| August 26, 2021| | Notification of Acceptance| September 16, 2021| | Submission of Camera Ready Papers| September 30, 2021| | Workshop| November 1, 2021| |Post-workshop Camera-Ready Papers| November 16, 2021| ## Organizers ### CHAIRS * Paolo Ceravolo, Università degli Studi di Milano, Italy (https://orcid.org/0000-0002-4519-0173) * Sylvio Barbon Jr., State University of Londrina, Brazil (https://orcid.org/0000-0002-4988-0702) * Annalisa Appice, Università degli Studi di Bari, Italy (https://orcid.org/0000-0001-9840-844X) ### Program Committee Matthias Ehrendorfer, University of Vienna Sarajane Marques Peres, University of São Paulo Luís Paulo Faina Garcia, University of Brasilia Michelangelo Ceci, University of Bari Aldo Moro Gabriel Marques Tavares, Università degli Studi di Milano Domenico Potena , Università Politechnica delle Marche Antonella Guzzo, Università della Calabria Natalia Sidorova, Eindhoven University of Technology Irene Teinemaa, Booking.com Wil van der Aalst, RWTH Aachen University María Teresa Gómez, University of Seville Mariangela Lazoi, University of Salento Emerson Cabrera Paraiso, Pontifícia Universidade Católica do Paraná Bruno Bogaz Zarpelão, State University of Londrina Chiara Di Francescomarino, Fondazione Bruno Kessler Fabrizio Maria Maggi, Free University of Bozen-Bolzano

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Call for Papers Special Issue on Machine Learning for Complex Systems Modelling and Control [Mathematical Biosciences and Engineering, AIMS]
by Alessio Martino 07 May '21

07 May '21

Dear Colleagues, I am contacting you in my capacity as Guest Editor for a Special Issue titled: "Machine Learning for Complex Systems Modelling and Control" to appear in “Mathematical Biosciences and Engineering” journal (AIMS Press): http://www.aimspress.com/mbe/article/5971/special-articles <http://www.aimspress.com/mbe/article/5971/special-articles> I hereby invite you and your co-authors to submit an original research paper, or a focused review, for our special issue. Deadline for manuscript submissions is 31 October 2021. Submitted papers will be peer reviewed and, upon acceptance, the paper will be published in open access form soon after professional editing. Thank you in advance for your consideration and I sincerely hope that you will accept this invitation to contribute to this Special Issue. If you believe that you will be able to submit a manuscript, I would also greatly appreciate if you could respond to this invitation at your earliest convenience. “Mathematical Biosciences and Engineering” (ISSN 1551-0018) is an EI, Scopus, WoS, PubMed indexed, interdisciplinary open access journal focuses on new developments in the fast-growing fields of mathematical biosciences and bioengineering. Areas covered include general mathematics, biology, and engineering with an emphasis on cutting-edge integrative and interdisciplinary research bridging mathematics, biology and engineering. Best Regards ________________________________________ Alessio Martino, PhD, Research Fellow Italian National Research Council Institute of Cognitive Sciences and Technologies (ISTC-CNR) Via San Martino della Battaglia 44, 00185 Rome, Italy <https://www.google.com/maps/place/Via+S.+Martino+della+Battaglia,+44,+00185…> Phone: (+39)0644362370-5 E-mail: alessio.martino(a)istc.cnr.it <mailto:alessio.martino@istc.cnr.it> Web: www.istc.cnr.it/en <http://www.istc.cnr.it/en>

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[CFP] International Workshop on Mining and Learning in the Legal Domain (MLLD 2021)
by Zarrinkalam, Fattane (TR Technology) 06 May '21

06 May '21

The International Workshop on Mining and Learning in the Legal Domain (MLLD 2021)<https://sites.google.com/view/mlld2021/home> will be co-located with ICDM-2021<https://icdm2021.auckland.ac.nz/> to be held on December 7-10, 2021, in Auckland, New Zealand. Call For Papers Introduction The increasing accessibility of large legal corpora and databases create opportunities to develop data driven techniques as well as more advanced tools that can facilitate multiple tasks of researchers and practitioners in the legal domain. While recent advancements in the areas of data mining and machine learning have gained many applications in domains such as biomedical, healthcare and finance, there is still a noticeable gap in how much the state-of-the-art techniques are being incorporated in the legal domain. Achieving this goal entails building a multi-disciplinary community that can benefit from the competencies of both law and computer science experts. The goal of this workshop is to bring the researchers and practitioners of both disciplines together and provide an opportunity to share the latest novel research findings and innovative approaches in employing data analytics and machine learning in the legal domain. Topics Following the success of the 1st MLLD workshop (MLLD 2020)<https://sites.google.com/view/mlld2020/home>, the 2nd workshop on Mining and Learning in the Legal Domain (MLLD 2021) discusses a broad variety of topics in various aspects of analyzing legal data such as Legislations, litigations, court cases, contracts, patents, Non-Disclosure Agreements (NDAs) and Bylaws. We encourage submissions on novel mining and learning based solutions in: * Applications of data mining techniques in the legal domain * case outcome prediction * classifying, clustering and identifying anomalies in big corpora of legal records * legal analytics * citation analysis for case law * eDiscovery * Applications of natural language processing and machine learning techniques for legal textual data * information extraction and entity extraction/resolution for legal document reviews * information retrieval and question answering in applications such as identifying relevant case law * summarization of legal documents * legal language modelling and legal document embedding and representation * recommender systems for legal applications * topic modelling in large amounts of legal documents * harnessing of deep learning approaches * Ethical issues in mining legal data * privacy and GDPR in legal analytics * bias in the applications of data mining * transparency in legal data mining * Training data for legal domain * digital lawyers and legal machines * smart contracts * future of law practice in the age of AI * Emerging topics in the intersection of data mining and law * acquisition, representation, indexing, storage, and management of legal data * automatic annotation and learning with human in the loop * data augmentation techniques for legal data * semi-supervised learning, domain adaptation, distant supervision and transfer learning Submissions You are invited to submit your original research and application papers to the workshop. As per ICDM instructions, papers are limited to a maximum of 8 pages, and must follow the IEEE ICDM format requirements. All accepted workshop papers will be published in the formal proceedings by the IEEE Computer Society Press. Each paper is reviewed by at least 3 reviewers from the program committee. Paper review is triple-blind. Manuscripts are to be submitted through CyberChair<https://www.wi-lab.com/cyberchair/2021/icdm21/>. More information about the workshop is available here<https://sites.google.com/view/mlld2021/home>. Important Dates * Paper submission due date: September 3, 2021 * Notification of acceptance: September 24, 2021 * Camera ready submission: October 1, 2021 * MLLD -2021 Workshop: December 7, 2021 Organizing Committee Masoud Makrehchi<mailto:masoud.makrehchi@uoit.ca>, OntarioTech University and Thomson Reuters Labs Shohreh Shaghaghian<mailto:shohreh.shaghaghian@thomsonreuters.com>, Thomson Reuters Labs Ali Vahdat<mailto:ali.vahdat@thomsonreuters.com>, Thomson Reuters Labs Fattane Zarrinkalam<mailto:fattane.zarrinkalam@thomsonreuters.com>, Thomson Reuters Labs This e-mail is for the sole use of the intended recipient and contains information that may be privileged and/or confidential. If you are not an intended recipient, please notify the sender by return e-mail and delete this e-mail and any attachments. Certain required legal entity disclosures can be accessed on our website: https://www.thomsonreuters.com/en/resources/disclosures.html

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CFP: Resilience@Euro-Par 2021 - Papers due May 14 (extended)
by Thomas Naughton 06 May '21

06 May '21

14th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> in conjunction with the 27th International European Conference on Parallel and Distributed Computing (Euro-Par), Lisbon, Portugal August 30 - September 3, 2021 <http://2021.euro-par.org> Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), hardware complexity increases (such as due to heterogeneous computing) and software complexity increases (such as due to complex data- and workflows, real-time requirements and integration of artificial intelligence (AI) technologies with traditional applications). Correctness and execution efficiency, in spite of faults, errors, and failures, is essential to ensure the success of the HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. The impact of faults, errors, and failures in such HPC systems can range from financial losses due to system downtime (sometimes several tens-of-thousands of Dollars per lost system-hour), to financial losses due to unnecessary overprovision (acquisition and operating costs), to financial losses and legal liabilities due to erroneous or delayed output. The emergence of AI technology opens up new possibilities, but also new problems. Using AI technology for operational intelligence that enables resilience in HPC systems and centers is a complex control problem, while designing resilient AI technology for HPC applications is a difficult algorithmic problem. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, error/failure and anomaly detection, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient algorithms. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2021 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> - Resilience 2021 Submissions: <https://easychair.org/conferences/?conf=europar2021> (Select "WS06" Track) - Euro-Par 2021 website: <http://2021.euro-par.org> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Experience reports - Error/failure/anomaly detection and reliability/dependability modeling: - Statistical analyses - Machine learning and artificial intelligence - Digital twins - Data collection and aggregation - Information visualization - Monitoring and control for resilience: - Center, system and application monitoring and control - Reliability, availability, serviceability and performability - Tunable fidelity and quality of service - Automated response and recovery - Operational intelligence to enable resilience - End-to-end integrity: - Fault tolerant design of centers, systems and applications - Forward migration and verification - Degraded operation - Error propagation, failure cascades, and error/failure containment - Testing and evaluation, including fault/error/failure injection - Enabling infrastructure for resilience: - Reliability, availability, serviceability systems - System software and middleware - Resilience extensions for programming models - Tools and frameworks - Support for resilience in heterogeneous architectures - Resilient algorithms: - Algorithmic detection and correction - Resilient solvers and algorithm-based fault tolerance - Fault tolerant numerical methods - Robust iterative algorithms - Resilient artificial intelligence Important Dates: - Workshop papers due: May 14, 2021 (23:59 AoE) [Extended] - Workshop author notification: June 30, 2021 - Workshop author registration: TBD - Workshop paper (for informal workshop proceedings, due in EasyChair): July 14, 2021 - Workshop date: August 30 or 31, 2021 - Workshop camera-ready papers: September 10, 2021 General Co-Chairs: - Stephen L. Scott Tennessee Tech University, USA scottsl(a)ornl.gov - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Co-Chairs: - Ferrol Aderholdt Middle Tennessee State University, USA ferrol.aderholdt(a)mtsu.edu - Thomas Naughton Oak Ridge National Laboratory , USA naughtont(a)ornl.gov Workshop Chair Emeritus: - Chokchai (Box) Leangsuksun Louisiana Tech University, USA box(a)latech.edu Program Committee: - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Saurabh Hukerikar, NVIDIA, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, Sandia National Laboratories, USA - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Technical University of Munich, Germany - Keita Teranishi, Sandia National Laboratories, USA _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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CFP - 37th International Conference on Logic Programming (extended deadlines)
by Miguel Areias 04 May '21

04 May '21

========================================================================= FINAL CALL FOR PAPERS The 37th International Conference on Logic Programming (ICLP 2021) Fully virtual event hosted by the Department of Computer Science of the University of Porto ========================================================================= New: Extended deadlines (regular papers) ** Abstract registration: May 12, 2021 ** Paper submission: May 18, 2021 New: Invited speakers ** William W. Cohen, Google AI ** John Hooker, CMU ** Phokion Kolaitis, UC Santa Cruz and IBM Almaden ** Stuart Russell, UC Berkeley ** Jeffrey Ullman, Stanford University ========================================================================= Contributions are sought in all areas of logic programming, including but not restricted to: ** Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. ** Languages issues: Concurrency, Objects, Coordination, Mobility, Higher order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming techniques. ** Programming support: Program analysis, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. ** Implementation: Compilation, Virtual machines, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and coinductive logic programming, Constraint logic programming, Answer set programming, Interaction with SAT, SMT and CSP solvers, Theorem proving, Argumentation, Probabilistic programming, Machine learning. ** Applications: Databases, Big data, Data integration and federation, Software engineering, Natural language processing, Web and semantic web, Agents, Artificial intelligence, Computational life sciences, Cybersecurity, Robotics, Education. Tracks and Affiliated Events **************************** Besides the main track, ICLP 2021 will host additional tracks: ** Applications Track ** Recently Published Research Track and affiliated events: ** MentorLP - Mentoring Workshop on Logic Programming ** Fall School on Logic and Constraint Programming ** Doctoral Consortium ** Tutorials and co-located Workshops More details ************ https://iclp2021.dcc.fc.up.pt Any additional question can be directed towards ICLP Chairs: iclp2021(a)easychair.org =========================================================================

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PhD Position at CIAD / Technology University of Belfort-Montbaliard on "Contribution to cooperative perception and cooperative planning and control of robots in uncertain environment"
by Stéphane Galland 03 May '21

03 May '21

The CIAD laboratory is searching for a PhD candidate to work on cooperative control and planning, cooperative environmental perception,machine learning, multi-agent systems and robot behavior analysis. The PhD project is funded by the Technology University of Belfort- Montbeliard for 36 months.Starting period is September/October 2021. Application details are into the attached file or available on https://www.linkedin.com/feed/update/urn:li:activity:6794917064424341505/ 1) Introduction / background: Several applications in the field of robotics require interactions between robots toaccomplish their task. These interactions can be conflictual as in the case of space sharing,or collaborative as during handling operations. The movements of the robots in both casesmust be synchronized to perform their tasks safely. Due to the uncertain environment,especially in the presence of humans, these movements can experience delays, hence theneed to share the perception of the environment. There are two possible solutions tomeet this need. The first one consists of building a global dynamic representation mapshared and updated by all robots. This assumes that it must be managed centrally. In thesecond approach, which is decentralized, the robots communicate interfering elementswith each other. To do this, they must be able to classify the states of the environmentand jointly define the different sources of delay to synchronize accordingly. Two scientificbuilding blocks are identified in the proposed thesis subject.Cooperative planning and control: This involves studying interaction models and analyzing theproperties of control or trajectory planning. In addition to the properties of the solutions, themodel will be used to deduce the relevant information to be exchanged between the robots.Other control or planning techniques can be exploited. Through these analyzes, the student will beable to address the thorny issue of multi-agent reinforcement learning in the context ofcontinuous decision-making [1]. The aim here is to test the potentials of Deep ReinforcementLearning (DRL) in the context of the learning of several agents [2]. Also, other distributed controlstrategies can be deduced, explored and compared.Dynamic cooperative perception: This involves sharing the perception of a robot's environmentwith other robots and vice versa in a collaborative context [3]. The objective is to increase theperception of each of the robots in order to offer them broader perspectives to carry out theirindividual and collective tasks as well as possible [4]. In general, each robot, equipped with one ormore sensors (cameras, Lidars, etc.), must be able to locally perceive its surrounding space, thenintegrate all the information useful for the mission of each robot in its perception or knowledgemap [5]. The student will focus particularly on creating a dynamic representation of the perceptionof each robot by exploiting its own perception and those shared by other robots. The objectivehere is to understand the dynamic content of the environment by recognizing situations or eventsthat may cause difficulties to the robot itself, but also to other robots participating in the collectivemission. This representation requires a spatial and temporal registration, which can be complexdepending on the type of information shared.2) Planned works:The two scientific topics presented above will have to be treated and exploited jointly.Cooperative control and planning can benefit fromdynamic cooperative perception and vice versa.Indeed, the results of perception will be exploited to optimize the control of the robots, and inreturn, the perception process will exploit the robots control or planning to improve theirperception in terms of prediction for example. From a practical point of view, the sharing andupdating of the perception map of each robot can be done at the request of the robot concerned(to other robots) or can be detected automatically as part of a strategy defined by the missionitself and made known to all robots participating in the mission.For experiment and testing, the student will benefit from an application in a concrete case ofcollaboration between several real robots and a computing platform. The data will be generatedthrough real and augmented tests. [1] Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, and Igor Mordatch. 2017. Multi-agentactor-critic for mixed cooperative-competitive environments. In Proceedings of the 31stInternational Conference on Neural Information Processing Systems (NIPS'17). Curran AssociatesInc., Red Hook, NY, USA, 6382–6393.[2] OROOJLOOYJADID, Afshin et HAJINEZHAD, Davood. A review of cooperative multi-agent deepreinforcement learning. arXiv preprint arXiv:1908.03963, 2019.[3] SCHMUCK, Patrik et CHLI, Margarita. CCM ‐ SLAM: Robust and efficient centralized collaborativemonocular simultaneous localization and mapping for robotic teams. Journal of Field Robotics,2019, vol. 36, no 4, p. 763-781.[4] QUERALTA, Jorge Pena, TAIPALMAA, Jussi, PULLINEN, Bilge Can, et al. Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision. IEEE Access,2020, vol. 8, p. 191617-191643.[5] YANG, Chule, WANG, Danwei, ZENG, Yijie, et al. Knowledge-based multimodal informationfusion for role recognition and situation assessment by using mobile robot. Information Fusion,2019, vol. 50, p. 126-138.-- Laboratoire Connaissance et Intelligence Artificielle Distribuées CIAD UMR 7533 Prof. Dr. Stéphane GALLAND Full Professor of Computer Science and Multiagent Systems Deputy Director of CIAD French Head of ARFITEC ARF-17-11 & ARF-19-11 "Energy, Transport, Industry, Challenges for tomorrow" Senior member of the Multiagent Group Member of AFIA Université de Technologie de Belfort-Montbéliard - UBFC 13, rue Ernest Thierry-Mieg 90010 Belfort Cedex, FRANCE CIAD Lab: www.ciad-lab.fr Web: www.ciad-lab.fr/author-10836 Phone: +33 384 583 418 (work office)

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