computational.science November 2019

computational.science@lists.iccsa.org

13 participants
15 discussions

Call for Papers: ScalA@SC 2017 - Papers due August 28
by Engelmann, Christian 04 Nov '20

04 Nov '20

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017> 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. 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 not exceeding 8 letter size (8.5in x 11in) pages including figures, tables, and references using the ACM format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.acm.org/sigs/publications/proceedings-templates>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop 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, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at: <https://easychair.org/conferences/?conf=scala17>. Full papers will be published with the SC'17 workshop proceedings in the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an extended version in a special issue of the Journal of Computational Science (JoCS). Important Dates - Full paper submission: August 28, 2017 - Notification of acceptance: September 11, 2017 - Final paper submission (firm): October 9, 2017 - Workshop/conference early registration: TBD - Workshop: November 13, 2017 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - Zizhong Chen, University of California, Riverside, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Christian Engelmann, Oak Ridge National Laboratory, USA - Wilfried Gansterer, University of Vienna, Austria - Michael Heroux, Sandia National Laboratories, USA - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - Ron Perrot, University of Oxford, UK - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. R&D Staff Scientist Computer Science Research Group 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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CfP Special Session on Computational Intelligence for Bioinformatics and Computational Biology [IEEE WCCI 2020]
by Alessio Martino 29 Nov '19

29 Nov '19

Fellow Colleagues, following the experience of the previous edition, we propose our Special Session on Computational Intelligence for Bioinformatics and Computational Biology also at IEEE WCCI 2020 (Glasgow, UK). Bioinformatics and Computational Biology deal with a wide range of problems and applications which, in recent years, have been successfully solved by means of Computational Intelligence and Machine Learning techniques. Moreover, due to technological progress, huge amounts of data concerning biological organisms are gathered and collected (e.g. genes transcript, protein structures and the like), thereby demanding the use of parallel and distributed computing for facing Big Datasets and/or high-throughput application requirements. Further, in such fields, data usually encodes complex information, which is natively represented by structured records, such as sequences, graphs and images, most of which lie in so-called “non-metric spaces”, i.e. input spaces for which a meaningful (dis)similarity measure might not be metric, making the problem more challenging since ad-hoc (dis)similarity measures or embedding functions need to be defined. This Special Session aims at collecting the latest research in Computational Intelligence applications for Bioinformatics and Computational Biology, with emphasis on parallel/distributed computing and non-metric spaces analysis, by means of different (or hybridization of) Computational Intelligence techniques, from evolutionary meta-heuristics to neural computation, from pattern recognition to fuzzy systems. Topics of interest include (but are not limited to): • Network and Systems Biology • Gene expression, gene regulatory networks • Sequence analysis, alignment and comparison • Biological complex systems modelling • Predictive medicine and medical image analysis • Network medicine • Large-scale data mining and pattern recognition • Distributed and parallel computing systems for machine learning and data mining • Network generative models • Graph kernels and string kernels in biology • Exact/inexact motifs and pattern matching • Granular computing approaches for non-metric space analysis • Protein folding/function prediction • Analysis of metabolic pathways • RNA/protein structure prediction More info here: https://sites.google.com/a/uniroma1.it/wcci2020-ci4bcb/home <https://sites.google.com/a/uniroma1.it/wcci2020-ci4bcb/home> Needless to say, you are all invited to join. King regards --- <https://htmlsig.com/t/000001C17PBN> Alessio Martino / PhD Research Fellow alessio.martino(a)uniroma1.it <mailto:alessio.martino@uniroma1.it> Department of Information Engineering, Electronics and Telecommunications (DIET) - University of Rome "La Sapienza" Via Eudossiana 18 00184 Rome, Italy https://web.uniroma1.it/dip_diet/en <https://web.uniroma1.it/dip_diet/en> <https://htmlsig.com/t/000001C4HZQK> <https://htmlsig.com/t/000001C6NBHT> This email and its attachments may be confidential and are intended solely for the use of the intended recipient. If you are not the intended recipient of this email and its attachments, you must take no action based upon them, nor must you copy or show them to anyone. Please contact the sender if you believe you have received this email in error. Any views or opinions expressed are solely those of the author and do not necessarily represent those of the University. -- ________________________________________________________ Le informazioni contenute in questo messaggio di posta elettronica sono strettamente riservate e indirizzate esclusivamente al destinatario. Si prega di non leggere, fare copia, inoltrare a terzi o conservare tale messaggio se non si è il legittimo destinatario dello stesso. Qualora tale messaggio sia stato ricevuto per errore, si prega di restituirlo al mittente e di cancellarlo permanentemente dal proprio computer. The information contained in this e mail message is strictly confidential and intended for the use of the addressee only. If you are not the intended recipient, please do not read, copy, forward or store it on your computer. If you have received the message in error, please forward it back to the sender and delete it permanently from your computer system.

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CFP - The 10th Workshop on Big Data and Cloud Performance (DCPerf'20) at IEEE Infocom'20
by Peter Mueller 28 Nov '19

28 Nov '19

Call for Papers ----------------------------------------------------------------- The 10th International Workshop on Big Data and Cloud Performance (DCPerf’20) ----------------------------------------------------------------- in conjunction with IEEE INFOCOM 2020 April 27, 2020, Beijing, China https://infocom2020.ieee-infocom.org/workshop-big-data-and-cloud-performance The 10th Workshop on Big Data and Cloud Performance (DCPerf'20) will be held in conjunction with the IEEE INFOCOM'20 in Beijing, China on April 27, 2020. The goal of DCPerf is to promote a community-wide discussion to identify suitable strategies to enable effective and scalable performance optimizations. Submissions on any topics of datacenter, cloud and bigdata performance are welcome. Submission site will remain open until Jan. 8th, 2020. Cloud data centers are the backbone infrastructure for tomorrow's information technology. Their advantages are efficient resource provisioning and low operational costs for supporting a wide range of computing needs, be it in business, scientific or mobile/pervasive environments. Because of the rapid growth in user-defined and user-generated applications and content, the range of services provided at data centers will expand tremendously and unpredictably. Particularly, big data applications and services, e.g., social and environmental sensing, and IoT monitoring, present a unique class of challenges in the Cloud. In addition, the high volume of mixed workloads and the diversity of services offered render the performance optimization of data centers even more challenging. Moreover, important optimization criteria, such as scalability, reliability, manageability, power efficiency, area density, and operating costs, are often conflicting. The increasing mobility of users across geographically distributed areas adds another dimension to optimizing big data and cloud applications. The goal of this workshop is to promote a community-wide discussion to identify suitable strategies to enable effective and scalable performance optimizations. We are looking for papers that present new techniques, introduce new methodologies, propose new research directions, or discuss strategies for resolving open performance problems for hosting big data analytics in the cloud. Topics of interest include (but are not limited to): - Big data applications and services - Emerging IoT applications - Data flow management - Processing platforms - Empirical studies - Cloud systems - Novel architectures - Resource allocation - Content distribution - Evaluation/modeling methodology - Big data and cloud performance - Cost/pricing design - Power/energy management - Reliability/dependability - Performance evaluation/modeling - Big data in the cloud - Intra/Inter communication - Network protocols - Security - Real-time analytics Important Dates: Paper Registration and Abstract Submission: Jan. 8th, 2020 Full Paper Submission: Jan. 15th, 2020 Notification of Acceptance: Feb. 15th, 2020 Final Manuscript Due: March 6, 2020 Submission Guideline: Manuscripts must be limited to 6 pages in IEEE 8.5x11-inch format. Accepted papers will be published in the combined INFOCOM 2020 Workshop proceedings and will be submitted to IEEE Xplore. Submitted papers may not have been previously published in or be under consideration for publication in another journal or conference. The reviews will be single blinded. Manuscripts should be submitted as PDF files via EDAS link: https://edas.info/newPaper.php?c=26866&track=99584 Committee: General Chair Wanyang Dai, Department of Mathematics, Nanjing University, China TPC co-Chairs Peter Mueller, IBM Research Zurich Lab, Switzerland Rui Han, School of Computer Science&Technology, Beijing Insititute of Technology Steering Committee Jiannong Cao (Hong Kong Polytechnic University, Hong Kong) Alok Choudhary (Northwerstern University, USA) Lydia Y. Chen, Distributed System Department, Delft University of Technology, The Netherlands Martin Schmatz (IBM Research Zurich Lab, Switzerland) Anand Sivasubramaniam (Penn State University, USA) Larry Xue (Arizona State University, USA) Contact: Peter Mueller - pmu(a)zurich.ibm.com

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Research fellow/Assistant professor in Optimization for Machine Learning at Linkoping university
by Oleg Burdakov 26 Nov '19

26 Nov '19

Hi, I would be grateful if you could post the appended advert to Computational Science Mailing List. Many thanks and best regards, Oleg Burdakov, Editor-in-Chief of the journal Optimization Methods & Software (OMS) http://www.tandfonline.com/goms Division of Optimization, | Phone: +46 13 281473 Department of Mathematics, | Mobile: +46 (0)70 0895219 Linkoping University, | E-mail: Oleg.Burdakov(a)liu.se SE - 58183 Linkoping, Sweden | http://users.mai.liu.se/olebu87/ :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: LINKÖPING UNIVERSITY (LiU) hereby advertises a position as Research fellow/Assistant professor in Optimization for Machine Learning at the Division of Optimization of the Department of Mathematics. The application deadline is December 9, 2019. Starting date: by agreement. The major task for this position is fundamental research in the area of mathematical optimization theory and novel techniques for machine learning. Examples of research topics are: sparse optimization, saddle point search, multi-objective learning, and stochastic quasi-Newton methods. Although the expertise should primarily be in optimization, the applicant should ideally also have experience in machine learning. Duties include research, teaching, supervision and some administrative duties. The position is for 5 years, of which 80% is for research and 20% for pedagogical qualification/teaching. The financing of the position, established through WASP (Wallenberg AI, Autonomous Systems and Software Program, https://wasp-sweden.org), includes support for not only the position holder’s own salary, but also a research group with two postdocs (2 years each) and one PhD student (4 years). Being a researcher at LiU will allow you to choose living on the countryside while commuting to work in only 15 min. Furthermore, working at LiU, you will own your entire research results and Intellectual Property Rights yourself, enabling own startups and other commercial activities that are even supported by the university. For further details, including how to apply, see: https://web103.reachmee.com/ext/I011/853/job?site=7&lang=UK&validator=d7a66… We look forward to receiving your application!

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Deadline Extended (29th November): The IEEE International Conference on Cloud Engineering (IC2E), Sydney, Australia
by Bahman Javadi 17 Nov '19

17 Nov '19

===================================================================== The IEEE International Conference on Cloud Engineering (IC2E) April 21-24, 2020, Sydney, Australia Website: https://conferences.computer.org/IC2E/2020/ ===================================================================== Call for Papers The IEEE International Conference on Cloud Engineering (IC2E) is targeted to be a premier conference on cloud computing, which represents a paradigm shift for the use and delivery of information technology (IT) and has been revolutionizing the support of on-demand access, economies of scale, and dynamic sourcing options. IC2E provides a high-quality and comprehensive forum, where researchers and practitioners can exchange information on engineering principles, enabling technologies, and practical experiences related to cloud computing. The conference brings together experts who work on different levels of the cloud stack—systems, storage, networking, platforms, databases, and applications. IC2E offers an end-to-end view on the challenges and technologies in cloud computing, fosters research that addresses the interaction between different layers of the stack, and ultimately helps shape the future of cloud-transformed business and society. IC2E-2020 invites submissions of high-quality research papers describing fully-developed results, and ongoing foundational and applied work related to all aspects of cloud engineering. The program committee will interpret “cloud engineering” very broadly—everything from engineering principles to practical experiences, at and across different levels of the cloud stack, from both academia and industry. --------------TOPICS-------------- We particularly encourage submissions on topics of emerging interest in the research and development communities. We invite submissions on the following topics: * Cloud Infrastructure - Processors, accelerators for Cloud processing: interactive, batch, and streaming - Cloud storage and databases - Programming models, benchmarks, and tools - Mobile cloud computing - Multimedia cloud computing - Cloud Networking, 5G - Runtimes, virtualization, containers, unikernels, event-driven serverless - Platforms and services for data and analytics - Operational analytics and DevOps solutions - Economics of cloud * Cloud services - X as a Service: Backend, Business Process, Database, Infrastructure, Network, - Platform, Security, Software, Storage, etc. - Microservices in the cloud - Support for mobility - Accelerators at the edge and core - Edge to core/data center - AI at the core and edge - Edge and fog computing - (Near) Real-time applications and services - Blockchain in support of Cloud Services * Cloud management - Big data management, platforms, analytics - Energy management in cloud centers - Cloud security, privacy, compliance, and trust - SGX, Trust zone, hardware security support - Hybrid cloud integration - Metering, pricing, and software licensing - Resource management and optimization - Service lifecycle management, automation - Performance, dependability, SLAs - Workload deployment and migration - Resource management and accounting - Cloud operating models including, public, on-premises and hybrid integration * Practice and Experience - Design, implementation and operation of cloud platforms - Practical design issues with infrastructure, platform and other as-a-service offerings - Experimental data on cloud operations and usage patterns - Managing big data, practical challenges and emerging techniques - Experience with management systems, tools, and integration --------------IMPORTANT DATES-------------- Abstract submission deadline : Extended to November 22nd 2019, 23:59 GMT Full paper submission deadline : Extended to November 29th 2019, 23:59 GMT Author notification:January 31st 2020 Camera-ready deadline:March 20th 2020 --------------SUBMISSION INSTRUCTIONS-------------- Please submit full (and short) papers by the full paper submission deadline in PDF format via the web submission form. All papers should be double blind. Full research/industry track papers should not exceed 10 pages double column, including figures, and tables. References can be additional pages. We do not distinguish research and industry, there is a unified track. Short papers are limited to 6 pages, not including references. Short papers should be clearly marked as such in the title. The manuscripts may not exceed 10-point size font on 8.5x11 inch pages (IEEE conference style). --------------REVIEW PROCESS & PUBLICATION-------------- All submitted manuscripts will be peer-reviewed. Submissions will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference scope. Submitted manuscripts must contain original contributions, and their contributions must NOT have appeared in or be under consideration for publication in another workshop, conference, or journal. After review, some full paper submissions may be offered to be published as a short paper (6 pages) or a poster (2 pages). Accepted papers will be published by the IEEE Computer Society Conference Publishing Services (EI indexed).

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Ada Developer Room at FOSDEM 2020 - deadline Mon 25 Nov 2019
by Dirk.Craeynest＠cs.kuleuven.be 17 Nov '19

17 Nov '19

----------------------------------------------------------------------- 2nd Call for Presentations 10th Ada Developer Room at FOSDEM 2020 Saturday 1 February 2020, Brussels, Belgium www.cs.kuleuven.be/~dirk/ada-belgium/events/20/200201-fosdem.html Organized in cooperation with Ada-Europe Deadline Monday 25 November 2019 ----------------------------------------------------------------------- The 10th Ada Developer Room will take place on Saturday 1 February 2020 in Brussels, Belgium. The Call for Presentations is still open: the deadline is Monday 25 November 2019. Do you have a talk you want to give? Do you have a project you would like to present? Would you like to get more people involved with your project? We're inviting proposals that are related to Ada software development, and include a technical oriented discussion. You're not limited to slide presentations, of course. Be creative. Propose something fun to share with people so they might feel some of your enthusiasm for Ada! An important goal is to present exciting Ada technology and projects also to people outside the traditional Ada community. Speaking slots are 15 or 45 minutes, plus 5 minutes for Q&A. Depending on interest, we might also have a session with lightning presentations (e.g. 5 minutes each), and/or an informal discussion session. Please provide a proposed title, the preferred length, plus an abstract and a short bio similar in style as on the program for previous Ada DevRooms, see for example [1]. We need that to put the draft program together by the end of November. Please react ASAP, and submit proposals by November 25, 2019, or contact us if you need more time. We're looking forward to your proposals! Dirk Craeynest Dirk.Craeynest(a)cs.kuleuven.be (for Ada-Belgium/Ada-Europe/SIGAda/WG9) PS: The full Call for Presentations is posted on the dedicated web-page on the Ada-Belgium site (see URL above). [1] <http://www.cs.kuleuven.be/~dirk/ada-belgium/events/19/190202-fosdem.html> #AdaFOSDEM #AdaProgramming #AdaBelgium #AdaEurope #FOSDEM2020

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CFP: 2020 IEEE International Conference on Cloud Computing (CLOUD 2020)
by sgwang＠bupt.edu.cn 15 Nov '19

15 Nov '19

Dear colleague, we would like to invite you to submit your paper to the 2020 IEEE International Conference on Cloud Computing (CLOUD 2020) https://conferences.computer.org/cloud/2020/ that will be held in Beijing, China, on July 7-11, 2020. We apology if you got multiple copies of it. Best regards, Shangguang Wang and Claudio Ardagna on behalf of CLOUD 2020 Organizing Committee ================================================== 2020 IEEE International Conference on Cloud Computing (CLOUD 2020) July 7-11, 2020 - Beijing, China Website: https://conferences.computer.org/cloud/2020/ Submission: https://easychair.org/conferences/?conf=ieeecloud2020 ================================================== Important Dates * Early paper submissions due: December 2, 2019 * Review comments to authors of early submission papers: January 17, 2020 * Normal paper submission due: February 13, 2020 (5:00 am, UTC) * Final notification to authors: April 6, 2020 * Camera ready manuscripts due: April 20, 2020S Context and Scope IEEE CLOUD is a flagship conference focusing on innovative cloud computing across all "as a service" categories, including Network, Infrastructure, Platform, Software, and Function. IEEE CLOUD 2020 invites original papers addressing all aspects of cloud computing technology, systems, applications, and business innovations. Technical topics of interest include but are not limited to the following: Cloud as a Service * IaaS, PaaS, and SaaS * Function as a Service * Network as a Service * Storage as a Service * Everything as a Service Cloud Infrastructure * Cloud Computing System & Architectures * Edge Computing System & Architectures * Cloud-centric Network Architectures * Storage & Data Architectures * Hybrid-clouds & Multi-clouds Integration Cloud Applications * Large Scale Cloud Applications * Terminal-Edge-Cloud Applications * 5G/6G Enhanced Edge/Cloud Applications * Social & Mobile Cloud Applications * Innovative Cloud Applications Cloud Management and Operations * Distributed & Parallel Query Processing * Resource, Energy & Data Management * Cloud Metering & Monitoring * Containers & Serverless Computing * SDN, NFV, & Data Center Network * Cloud Service Adaptation & Automation * Cloud Federation & Service Composition Cloud Trustworthiness * Access Control, Authorization, & Authentication * Assurance, Audit, Certification, Compliance * Fault Tolerance, High Availability, & Reliability * Cryptographic Algorithms and Protocols * Cloud Security and Privacy * Trusted Cloud Environments Manuscript Guidelines and Submission Language: English Paper size and format: US Letter; Two-column format in the IEEE style Page limit: Up to eight pages for peer review for regular papers; Up to three pages for a "work in progress" paper Abstract Length: 1500 characters for a regular paper, and 500 characters for "work in progress" papers Number of Keywords: between five to eight keywords for each paper File format: Limit the size of a single PDF file to be 6MB Note: Authors of the accepted regular papers will have available up to 10 pages for the final version of papers. Anonymous Submissions: All conferences implement a double-blind reviewing process. Author names and affiliations should not appear in the paper. The authors should make a reasonable effort not to reveal their identities of institutional affiliations in the text, figures, photos, links, or other data that is contained in the paper. Authors' prior work should be preferably referred to in the third person; if this is not feasible, the references should be blinded. Submissions that violate these requirements will be rejected without review. The list of authors cannot be changed after the acceptance decision is made unless approved by the Program Chairs. All submitted manuscripts will be peer-reviewed by the program committee. Accepted papers with confirmed registration and committed presentation will appear in the conference proceedings published by the IEEE Computer Society Press. Each conference/congress will publicly announce the winners of its Best Paper Award, and Best Student Paper Award. The authors of selected papers will be encouraged to submit extended and enhanced versions of their papers to the IEEE Transactions on Services Computing (TSC) and other suitable journals. Submitted Regular and Workshop Papers will be limited to 8 (IEEE Proceedings style) pages and REQUIRED to be formatted using the IEEE Proceedings template. Submitted Work-In-Progress Papers will be limited to 3 (IEEE Proceedings style) pages. Unformatted papers and papers beyond the page limit may not be reviewed. Please submit your paper at EasyChair.org: https://easychair.org/conferences/?conf=ieeecloud2020 Please visit website at https://conferences.computer.org/cloud/2020/cfp/ for more information. Organization General Chairs: Latifur Khan, University of Texas at Dallas Gang Huang, Peking University Program Chairs: Claudio Ardagna, University of Milan Shangguang Wang, Beijing University of Posts & Telecommunications Technical Program Committee https://conferences.computer.org/cloud/2020/committee/ =============================================

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[News] Aristotle University of Thessaloniki MULTIDRONE video dataset for boat detection/tracking from UAV video footage
by Ioannis Mademlis 12 Nov '19

12 Nov '19

== Public video dataset for boat detection/tracking from UAV video footage == The Aristotle University of Thessaloniki (AUTH) is making publicly available a video dataset for boat detection/tracking from UAV video footage (Annotations_eights_DW_raw), under the auspices of the MULTIDRONE research and development project (https://multidrone.eu/). It consists of 3 HD videos (720p - 1280 x 720) subsamplbed at 25 frames per second. An annotation file is included along with each video file. Directions for accessing and using the dataset can be found at www.aiia.csd.auth.gr/LAB_PROJECTS/MULTIDRONE/AUTH_MULTIDRONE_Dataset.html ----------------------------------------------------------- Ioannis Mademlis, Ph.D. Research Assistant Artificial Intelligence and Information Analysis Lab (AIIA) Aristotle University of Thessaloniki

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[Call for Participation] SC19 BOF on HPC Graph Toolkits and the GraphBLAS Forum
by Tumeo, Antonino 11 Nov '19

11 Nov '19

[Apologies if you receive multiple copies of this CFP] SC19 BOF on HPC Graph Toolkits and the GraphBLAS Forum 9th Workshop on Irregular Applications: Architectures and Algorithms https://hpc.pnl.gov/BOF/ November 20, 2019 5:15 - 6:45 PM Colorado Convention Center, Denver, CO Room 605 -------------------- Program -------------------- Government agencies, industry, and academia are demanding a new generation of tools to efficiently solve large scale analytics problems in a variety of business, scientific and national security applications. This BoF aims at gathering the community of people interested in frameworks and workflows for large scale graph analytics, surveying the current approaches, identifying new challenges and opportunities, and laying a path toward future interoperable infrastructures. As in previous editions, we will invite the GraphBLAS community to participate in a discussion of the current state and evolution of GraphBLAS, with the goal of developing requirements and recommendations for future tools. Organizers: Antonino Tumeo (PNNL), Jose Moreira (IBM), Aydin Buluc (LBNL), Mahantesh Halappanavar (PNNL), Tim Mattson (Intel), John Feo (PNNL) -------------------- Program -------------------- 5:15 - 5:20 Welcome and Introduction Antonino Tumeo (PNNL), Jose Moreira (IBM) 5:20 - 5:30 GraphBLAS updates Scott McMillan (CMU-SEI) 5:30 - 5:40 Towards a C++ Graph Standard Library Vito Giovanni Castellana (PNNL) 5:40 - 5:50 The Challenges in Benchmarking Graph Algorithms John Feo (PNNL) 5:50 - 6.45 Panel: "We need good benchmarks for graph algorithms" Moderator: Bruce Hendrickson (LLNL) Panelists: Joe Eaton (NVIDIA), John Feo (PNNL), Alice Koniges (Hawaii University), Tim Mattson (Intel)

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[Call for Participation] IA^3 2019 - Program announced
by Tumeo, Antonino 10 Nov '19

10 Nov '19

[Apologies if you receive multiple copies of this CFP] IA^3 2019 9th Workshop on Irregular Applications: Architectures and Algorithms http://hpc.pnl.gov/IA3 November 18, 2019 Colorado Convention Center, Denver, CO Room 505 In conjunction with SC19 Sponsored by IEEE TCHPC -------------------- Program -------------------- 9:00 - 9:10 Welcome and Introduction Antonino Tumeo, John Feo, Vito Giovanni Castellana 9:10 - 10:00 Keynote 1 - Chair: Vito Giovanni Castellana (PNNL) Khronos SYCL: Heterogeneous Programming with Modern C++ and Machine Learning Micheal Wong (Codeplay) 10:00 - 10:30 Coffee Break 10:30 - 11:30 Session 1: Distributed Systems and Irregular Applications - Chair: Ryan Friese (PNNL) Conveyors for Streaming Many-To-Many Communication Maley, DeVinney Extending a Work-Stealing Framework with Priorities and Weights Nakashima, Yoritaka, Yasugi, Hiraishi, Umatani RDMA vs. RPC for Implementing Distributed Data Structures (short) Brock, Chen, Yan, Owens, Buluç, Yelick 11:30 - 12:30 Session 2: Mixed Precision and new memory hierarchies for Irregular Applications - Chair: Sayan Ghosh (PNNL) A Mixed Precision Multicolor Point-Implicit Solver for Unstructured Grids on GPUs Walden, Nielsen, Diskin, Zubair Mixed-Precision Tomographic Reconstructor Computations on Hardware Accelerators Doucet, Ltaief, Gratadour, Keyes Metall: A Persistent Memory Allocator Enabling Graph Processing (short) Iwabuchi, Lebanoff, Gokhale, Pearce 12:30 - 14:00 Lunch break (on your own) 14:00 - 14:50 Keynote 2 - Chair: Marco Minutoli (PNNL) Sparse Linear Algebra in Facebook's Deep Learning Models Jongsoo Park (Facebook) 14:50 - 15:00 Session 3: Dealing with Irregular Algorithms - Chair: Vinay Amatya (PNNL) iPregel: Strategies to Deal with an Extreme Form of Irregularity in Vertex-Centric Graph Processing (short) Capelli, Brown, Bull 15:00 - 15:30 Coffee Break 15:30 - 15:55 Session 3 (continued): Dealing with Irregular Algorithms - Chair: Vinay Amatya (PNNL) Stretching Jacobi: A Two-Stage Pivoting Approach for Block-Based Factorization Thuerck 15:55 - 16:40 Session 4: Hardware evaluation and mechansims for Irregular Applications - Chair: Tania Lorido Botran (PNNL) A Hardware Prefetching Mechanism for Vector Gather Instructions Takayashiki, Sato, Komatsu, Kobayashi Performance Impact of Memory Channels on Sparse and Irregular Algorithms (short) Green, Fox, Young, Shirako, Bader Cascaded DMA Controller for Speedup of Indirect Memory Access in Irregular Applications (short) Kashimata, Kitamura, Kimura, Kasahara 16:40 - 17:30 Debate - Moderator: Flavio Vella (Free University of Bozen) Proposition: "Programming abstractions can greatly simplify the expression of complex workflows of data analytic applications, but make it difficult to customize source code for heterogeneous computer systems. Unfortunately, it is an either or situation --- easy expression or fast performance" Panelists: Nesreen Ahmed (Intel), Jonathan Beard (ARM), Tyler Sorensen (Princeton University), Ana Lucia Verbanescu (University of Amsterdam) -------------------- Organizers -------------------- Antonino Tumeo (PNNL), mailto:antonino.tumeo@pnnl.gov John Feo (PNNL), mailto:john.feo@pnnl.gov Vito Giovanni Castellana (PNNL), mailto:vitoGiovanni.castellana@pnnl.gov -------------------- Proceedings Chair -------------------- Marco Minutoli (PNNL and WSU), mailto:marco.minutoli@pnnl.gov -------------------- Artifact Evaluation Chair -------------------- Flavio Vella (Free University of Bozen), mailto:Flavio.Vella@unibz.it -------------------- Technical Program Committee -------------------- Nesreen Ahmed, Intel, US Ashwin M. Aji, AMD, US Kubilay Atasu, IBM Zurich, CH Scott Beamer, University of California, Santa Cruz, US Jonathan Beard, ARM, US Michela Becchi, North Carolina State University, US Sanjukta Bhowmick, University of North Texas, US Erik Boman, Sandia National Laboratories, US David Brooks, Harvard University, US Aydin Buluc, Lawrence Berkeley National Laboratory, US Anastasiia Butko, Lawrence Berkeley National Laboratory, US Tim Davis, Texas A&M University, US Assefaw Gebremedhin, Washington State University, US Rajiv Gupta, University of California, Riverside, US George Karypis, University of Minnesota, US Peter M. Kogge, Notre Dame University, US Manoj Kumar, IBM TJ Watson, US John Leidel, Tactical Computing Labs, US Kamesh Madduri, Pennsylvania State University, US José Moreira, IBM TJ Watson, US Miquel Moreto, Barcelona Supercomputing Center, ES Walid Najjar, University of California, Riverside, US Maxim Naumov, Facebook, US Fanny Nina-Paravecino, Intel, US Roger Pearce, Lawrence Livermore National Laboratory, US Cynthia Phillips, Sandia National Laboratories, US Keshav Pingali, University of Texas, Austin, US Alejandro Rico, ARM, US Jason Riedy, Georgia Tech, US John Shalf, Lawrence Livermore National Laboratory, US Edgar Solomonik, University of Illinois, Urbana Champaign, US Ruud van der Pas, Oracle, US Ana Lucia Varbanescu, University of Amsterdam, NL Jishen Zhao, University of California, San Diego, US

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computational.science November 2019