- computational.science - lists.iccsa.org

CFP - HPBench 2020
by Samar Aseeri 29 May '20

29 May '20

Dear Sir, dear Madam, Please, can you pass this announcement also to interested colleagues. Kind regards ========================================================================== CALL FOR PAPERS The 7th Special Session on High Performance Computing for Application Benchmarking and Optimization (HPBench 2020) As part of the International Conference on High Performance Computing & Simulation (HPCS 2020) http://hpcs2020.cisedu.info/ or http://conf.cisedu.info/rp/hpcs20 Barcelona, Spain ========================================================================== The Special Session on Compiler Architecture, Design and Optimization provides a premier venue to bring together systems researchers working on compiler architecture, design and code optimization of high performance computing systems, particularly for many-core, GPU, and accelerators. The track spans the spectrum from compiler performance to energy optimization, and from purely static to fully dynamic approaches. IMPORTANT DATES : Papers Due: 1 July 2020 Author Notification: 22 July 2020 Camera-Ready Submission: 3 August 2020 Conference Dates: 26-30 October 2020 TOPICS : The HPBench topics of interest include, but are not limited to -Open Platforms for Parallel and Distributed Application Benchmarking and Optimization -Benchmarking on the Cloud -Benchmarking of Clusters, Supercomputers, and large-scale systems -Benchmarking the Performance of I/O -Benchmarking of Energy and Energy Efficiency -Benchmarking Web Services -Virtualization for Distributed Benchmarking -Data Distribution for Benchmarking -Performance results of benchmarks on modern platforms -Scalability Aspects of Benchmarking Parallel Applications on Parallel and Distributed Systems -Benchmarking of Parallel Scientific and Business Applications -Performance of Benchmarking Applications (Eg: NAS parallel benchmarks) -Techniques, frameworks and results concerning the benchmarking of library packages -Tools and frameworks for performance modeling systems and applications -Tools and frameworks for simulation, measurement and monitoring -Performance Measurements, Monitoring, Modeling and Simulation -Domain-specific benchmarks and applications (such as image processing, pattern recognition, cryptography, biometrics, differential equation solvers, signal processing and alike) -Mathematical Foundations of Benchmarking, Metrics and Heuristics GENERAL CHAIRS : Samar Aseeri, King Abdullah University of Science and Technology, Saudi Arabia Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany TECHNICAL PROGRAM COMMITTEE: Cosimo Anglano, Universitá del Piemonte Orientale, Italy Fabio Baruffa, Intel, Germany Suren Byna, Lawrence Berkeley National Laboratory, California, USA Paul Carpenter, Barcelona Supercomputing Center, Spain Douglas Doerfler, Lawrence Berkeley National Laboratory, USA Zhiyi Huang, University of Otago, New Zealand Clay Hughes, Sandia National Laboratories, USA Aleksandar Ilic, Universidade de Lisboa, Portugal Bok Jik Lee, Gwangju Institute of Science and Technology, Korea Ravi Reddy Manumachu, University College Dublin, Ireland Dana Petcu, West University of Timisoara, Romania Ivan Rodero, Rutgers University, USA ********************************************************************* For more information see http://conf.cisedu.info/rp/hpcs20/2-conference/special-sessions/session02-h… Kind Regards -- Samar Aseeri, PhD Computational Scientist Extreme Computing Research Center (ECRC) Building 1 -Office: 0128 *King Abdullah University of Science & Technology* Thuwal, Saudi Arabia -- This message and its contents, including attachments are intended solely for the original recipient. If you are not the intended recipient or have received this message in error, please notify me immediately and delete this message from your computer system. Any unauthorized use or distribution is prohibited. Please consider the environment before printing this email.

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GECON 2020, Final Call, Submission Deadline Extended to June 7th, 17th International Conference on Economics of Grids, Clouds, Systems & Services
by Jörn ALTMANN 26 May '20

26 May '20

=========================================================== 17th International Conference on Economics of Grids, Clouds, Systems & Services Extended Deadline: June 7th, 2020 =========================================================== ONLINE CONFERENCE with high interaction between participants WWW: http://2020.gecon-conference.org Dates: 15-17 September 2020 Proceedings: Springer LNCS =========== / NOTICES! / =========== Extended Deadlines: Extended abstract Submission deadline: May 31st, 2020 Full papers deadline: June 7th, 2020 The organizing committee of GECON 2020 has decided all sessions will be held exclusively online! We consider the new online format to offer opportunities for exploring new ways of improving the interaction and feedback of the audience with speakers and promoting networking among the conference participants. The registration fee of the online conference has been reduced to 250€ for one author of each publication, 100 € for participants, and 50€ for students. The selection process will run as planned. The timely publication of accepted papers in the proceedings of GECON 2020 will be published in the LNCS series of Springer as announced. Due to the new online format, GECON maintains open the proposal for special sessions. With the objective of encouraging alternative forms of participation that can increase discussions of technical topics and new ideas. We solicit new topics and birds-of-a-feather session proposals. Deadline for proposals is August 15th, 2020. ======== / SCOPE / ======== GECON 2020 builds upon the very successful tradition of the conference previous editions (http://www.gecon-conference.org) since 2003. GECON solicits contributions that are interdisciplinary, combining business and economic aspects with engineering and computer science related themes. ============== / Important Dates / ============== Deadlines: Extended abstract submission deadline: May 31st, 2020 Full papers deadline: June 7th, 2020 Notification of acceptance: July 6th, 2020 Camera Ready deadline: July 13th, 2020 Poster Submission for accepted papers: July 20th, 2020 Birds of a feather session proposals: August 15th, 2020 ============================== / Publication and Submission Guidelines / ============================== Original full papers and work-in-progress papers, which are not currently under review by another conference, will be considered. Manuscripts will be reviewed based on technical merit, originality, and relevance. Past acceptance rates have been around 30 per cent in recent years. Full papers, work-in-progress (WIP) papers, and wild-and-crazy-ideas (WACI) papers shall be submitted using the Springer LNCS format. Submitted full papers should not exceed 12 pages, WIP papers should not exceed 8 pages (including references and appendices) and WACI papers (4 pages). For further details, visit the GECON 2020 web page. Paper submissions are managed through EasyChair at (https://easychair.org/conferences/?conf=gecon2020) The proceedings will be published by Springer LNCS. Extended versions of up to 10 accepted papers in the Computer Science field will be invited for publication in a special issue of the: - Elsevier Journal of Future Generation Computing Systems. For papers targeting mainly business and economic aspects, a special issue of the - Springer Electronic Markets Journal or - Elsevier Electronic Commerce and Applications with up to 5 papers is foreseen. ============== / Topics of Interest / ============== As a global market for infrastructures, platforms, and software services emerge, the need to understand and deal with its implications and its interdisciplinary challenges is quickly growing. To address this, GECON encourages the submission of papers, which combine at least one economic/legal area and one technologic area. GECON list of areas includes, but is not limited to: -Economics- Incentive design, strategic behavior & game theory Market mechanisms, auctions models, and bidding languages Economic efficiency Techno-economic analysis and modelling Pricing schemes and revenue models Metering, accounting, and billing Cost-benefit analysis Automated trading and bidding support tools Trust, reputation, security, and risk management Performance monitoring, optimization, and prediction Reports on industry test-beds and operational markets Energy efficiency Sustainability Business models and strategies Decision support Open source ecosystems -Law and Legal Aspects- Standardization, interoperability, and legal aspects Service level agreements (SLAs), negotiation, Monitoring and enforcement Governance of ecosystems Privacy -Clouds, Grids, Systems and Services- IaaS, SaaS, PaaS and Federation of resources Vertical scaling, burstable computing, vertical elasticity Resource management: allocation, sharing, scheduling Capacity planning Virtualization and containers Service science, management and engineering (SSME) Software engineering Security -Technologies Transforming the Economy- Smart grids, smart cities, and smart buildings Energy-aware infrastructures and services Fog, edge, osmosis computing Micro-services, serverless computing Internet-of-Things Blockchains Community networks Social networks Social computing Big data Data stream ingestion and complex event processing Additionally, the following special topic sessions have been lined up (a detailed description is available on the GECON 2020 submission web site): -Digital Infrastructures to Support Decision Making for Pandemic Response and Countermeasures- Contact: GECON 2020 Chairs, gecon2020(a)easychair.org -Decentralising Clouds to Deliver Intelligence at the Edge- Contact: Seugwoo Kum, Korean Electronics Technology Institute, Korea, seungwoo.kum(a)gmail.com; Domenico Siracusa, Fondazione Bruno Kessler, Italy, dsiracusa(a)fbk.eu. -Sustainability of Digital Infrastructures: Social, Economic, and Policy Aspects for Material Resources Supporting the Digital World- Contact: Leandro Navarro Universitat Politecnica de Catalunya, Spain, leandro(a)ac.upc.edu; Felix Freitag Universitat Politecnica de Catalunya, Spain, felix(a)ac.upc.edu -Business and Economic Aspects of Machine Learning, Cognitive Systems and Data Science- Contact: Aurilla Aurelie Arntzen University of South-Eastern, Norway, aurilla.aurelie.arntzen(a)usn.no ==================== / Conference Organization / ==================== Conference Chair Vlado Stankovski (University of Ljubljana,Slovenia) Conference Vice-Chairs Karim Djemame (University of Leeds, UK) Orna Agmon Ben-Yehuda (University of Haifa, Israel) Jorn Altmann (Seoul National University, South-Korea) Jose Angel Banares (Zaragoza University, Spai Steering Committee Karim Djemame (University of Leeds, UK) Jorn Altmann (Seoul National University, South-Korea) Jose Angel Banares (Zaragoza University, Spain) Orna Agmon Ben-Yehuda (Technion, Israel) Steven Miller (Singapore Management University, Singapore) Omer F. Rana (Cardiff University, UK) Gheorghe Cosmin Silaghi (Babes-Bolyai University, Romania) Konstantinos Tserpes (Harokopio University, Greece) Maurizio Naldi (Universita di Roma, Italy) Contact for Questions: gecon2020(a)easychair.org @&@#^%&*%$@*#*&%#%^&$#@^@^&@%$@*^#&@ @%#&#@^*$@@#*%&%#@*$*&^@#$%@#%&$&%@ Prof. Dr. Jörn ALTMANN office 37-305 Technology Management, Economics, and Policy Program Departmentof Industrial Engineering Collegeof Engineering Seoul National University 1 Gwanak-Ro, Gwanak-Gu, 08826 Seoul, South-Korea phone: +82 70 7678 6676 phone: +49 4155 129333 phone: +1 510 962 3062 phone: +44 20 32393134 fax: +1 610 956 4404 email: jorn.altmann(a)acm.org www: http://altmann.my-groups.de/

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CFP for Virtualization in Machine Learning, High Performance Computing and Simulation
by Uday Kurkure 24 May '20

24 May '20

*The Third Special Session on Virtualization in Machine Learning, High Performance Computing and Simulation* *(VIRT 2020)* *CALL FOR PAPERS & PARTICIPATION* *As part of * *The 18th International Conference on High Performance Computing & Simulation (HPCS 2020)http://hpcs2020.cisedu.info/ <http://hpcs2020.cisedu.info/> or http://conf.cisedu.info/rp/hpcs20 <http://conf.cisedu.info/rp/hpcs20>* *26 - 30 October* * 2020* *Barcelona, Spain* *(Tentative)* * Paper Submission Deadline: 17 June 2020* *Submissions could be for full papers, short papers, poster papers, or posters* *PURPOSE AND SCOPE* Virtualization has become the foundation of cloud computing. The scale of cloud computing data centers is similar to the supercomputers used in High Performance Computing. Both involve millions of CPU cores, tens of thousands of accelerators like GPUs, FPGAs connected by high speed interconnects and different connection topologies. Studies have shown that the GPU utilization in HPC is often at 50%. Virtualization can be the key to increasing resource utilization and managing massive infrastructures efficiently. GPU vendors have introduced virtualized versions of GPUs. FPGAs are being deployed in virtual infrastructure. These and other developments in the field, along with future exascale systems, will provide increasing degree of virtualization within the systems. The goal of this special session is to be an opportunity to discuss and exchange research on the different virtualization technologies and how they can be efficiently applied in High Performance Computing. Theoretical research, engineering solutions dealing with practical tradeoffs, and complex system implementation papers are welcomed. *The VIRT topics include (but are not limited to) the following: * - *Virtualization in HPC* o Energy efficient solutions for HPC applications in the cloud environment o High-availability based on system-level virtualization mechanisms for HPC o Fault tolerance mechanisms based on system-level virtualization mechanisms for HPC o Performance and evaluation of diverse HPC workloads in virtualization environment o Security Isolation, Resource Isolation and Data Isolation in Virtualized HPC o Flexibility and Ease of system administration and management for virtualized environments for HPC o Running diverse workloads o Running heterogeneous Operating Systems o Live Migration and Suspend/Resume of VMs to improve resource utilization and avoid downtime o Scheduling of resources and Workloads o Software Defined Data Centers (SDDC) o Hypervisors and other virtualization solutions tailored for HPC systems o Big Data and Analytics in Virtualized Environments o Enterprise High Performance Computing in Virtualized Environments - *Accelerators in Virtualized HPC Environments:* o Virtualized GPUs o Scheduling of Virtual GPUs o Using FPGAs in Virtualization Stack o Dynamic Reconfiguration of FPGAs - * IO Virtualization* o Network Virtualization o SR-IOV o Software Defined Networking (SDN) o Storage Virtualization o RDMA and vRDMA - - Containers in HPC o Isolation of Multiple User-Spaces o Running containers in Virtual Machines - *Tools* o Virtualization solutions for dealing with heterogeneity in HPC environments o Compilers for heterogenous architectures involving GPUS, FPGAs, multi-core CPUs o Operating system support for virtualization in HPC systems o Debugging and/or profiling in virtual environments - *Algorithms* o Distributed Resource Scheduling o Distributed Computing - *AI, Machine Learning and Deep Learning* o Virtualization of Deep Learning Workloads o Deep Learning in HPC Simulations o Resource Allocation Using Machine Learning o Reinforcement Learning for Resource Allocation o Machine Learning to build tools for measurement & calibration - *Virtualization in Simulation* *INSTRUCTIONS FOR PAPER SUBMISSIONS * You are invited to submit original and unpublished research works on above and other topics related to *virtualization in high performance computing and simulation*. Submitted papers must not have been published or simultaneously submitted elsewhere until it appears in HPCS proceedings, in the case of acceptance, or notified otherwise. Submission can be for *- Regular papers*, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. *- Short papers* (up to 4 pages), please submit a PDF copy of your full manuscript, not to exceed 4 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. *- Poster papers* and *Posters* (please refer to http://hpcs2020.cisedu.info/1-call-for-papers-and-participation/call-for-po… for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments. Submit a PDF copy of your full manuscript to the special session paper submission site at https://cmt3.research.microsoft.com/VIRT2020 . Acknowledgement will be sent within 48 hours of submission. *Conference Policies* Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and soundness, presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS 2020 conference to present the paper at the special session as scheduled. By submitting the paper to the HPCS conference, all authors agree to abide by all HPCS conference paper submission, publication and presentation policies as well as following ethical and professional codes of conduct, including those of the professional co-sponsoring organizations. Contents of manuscripts submitted to the tracks program committees shall be regarded as privileged as well and handled in the same manner and standards. For more information, please refer to the *Authors Info* and *Registration Info* pages. *Proceedings* Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2020 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly. *SPECIAL ISSUE* Plans are underway to have the best papers, in extended version, selected for possible publication in a reputable journal as special issue. Detailed information will soon be announced and will be made available on the conference website. If you have any questions about paper submission or the special session, please contact the special session organizers. *IMPORTANT DATES* *Paper Submissions: ------------------------------------------- 17 June 2020* *Acceptance Notification: -------------------------------------- 10 July 2020* *Camera Ready Papers and Registration Due by: ----------- 03 August 2020* *Conference Dates: -------------------------------------------- 26-30 October 2020* *SPECIAL SESSION ORGANIZERS* *Uday Kurkure * VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1179 Fax: +1 650- Email: uday(a)alumni.stanford.edu *Hari Sivaraman * VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-3681 Fax: +1 650- Email: hsivaraman(a)vmware.com *Lan Vu * VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1327 Fax: +1 650- Email: lanv(a)vmware.com *International Program Committee*: * All submitted papers will be rigorously reviewed by the special session technical program committee members following similar criteria used in HPCS 2020 and will be published as part of the HPCS 2020 Proceedings. - *Cristina Boeres*, Fluminense Federal University, Brazil - *Isaac Gelado*, Nvidia Corp., Santa Clara, California, USA - *Kyle Hale*, Illinois Institute of Technology, Illinois, USA - *Xiaoyi Lu*, The Ohio State University - Columbus, Ohio, USA - *Carlos Reano*, Queen's University Belfast, U.K. - *Federico Silla*, Universitat Politecnica de Valencia, Spain - *Alex Sim*, Lawrence Berkeley National Laboratory, California, USA - *Giang Son Tran*, University of Science and Technology of Hanoi, Hanoi, Vietnam - *Blesson Varghese*, Queen's University Belfast, U.K. - *Dong Ping Zhang*, AMD Inc., San Jose, California, USA - *Jie Zhang*, Amazon Inc., Washington, USA - *Yongli Zhao*, Beijing University of Posts and Telecommunications, Beijing, China

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Postdoc Position at Berkeley Lab in Ice Sheet Modeling
by Esmond G. Ng 21 May '20

21 May '20

Berkeley Lab's Computational Research Division has an opening for a Postdoctoral Scholar to work on the BISICLES Ice Sheet Model. The Applied Numerical Algorithms Group (ANAG), in partnership with the Universities of Bristol and Swansea in the UK, is a home of BISICLES, an open-source adaptive mesh refinement (AMR) ice sheet model under development as a part of the U.S. Department of Energy-funded ProSPect SciDAC partnership (see http://bisicles.lbl.gov) You will join an interdisciplinary team of scientists and engineers in extending the current BISICLES capabilities while applying the model to a range of idealized and realistic problems. ANAG develops advanced numerical algorithms and software for partial differential equations integrated with the application of the software to problems of independent scientific and engineering interest. The primary focus of our work is in the development of high-resolution and adaptive finite difference methods for partial differential equations in complex geometries with applications to DOE-mission applications including porous media flows, magnetohydrodynamics, industrial problems, climate, and fusion energy. Details, including how to apply, can be found here: https://jobs.lbl.gov/jobs/bisicles-ice-sheet-model-postdoctoral-scholar-2616

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CFP: Resilience@Euro-Par 2020 - Papers due June 12 (deadline extended)
by Thomas Naughton 20 May '20

20 May '20

We apologize if you receive multiple copies of this call for papers. -------------------------------------------------------------------------------- 13th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> in conjunction with the 26th International European Conference on Parallel and Distributed Computing (Euro-Par), Warsaw, Poland August 24 - 28, 2020 <http://2020.euro-par.org> 2020 Workshop Format: Due to the exceptional situation of COVID-19, this year Euro-Par and its workshops will be organized as an all-virtual event. This includes the main conference and workshops. The accepted workshop papers must be presented by one of the authors in order to be included in the proceedings. There will be a single minimal registration fee for each accepted paper in order to cover expenses associated with organization and proceedings publication. Only one author per paper needs to register (150 euros). Lastly, the preferred presentation format for the workshop will be via a streaming presentation, with slides and pre-recorded video presentations used in exceptional situations. 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 2020 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> - Resilience 2020 Submissions: <https://easychair.org/conferences/?conf=europar2020workshop> - Euro-Par 2020 website: <http://2020.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 12, 2020 (extended) - Workshop author notification: July 21, 2020 - Workshop author registration: TBA - Workshop paper (for informal workshop proceedings): July 21, 2020 - Workshop date: August 24 or 25, 2020 - Workshop camera-ready papers: September 11, 2020 (after the conference) 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 - Robert Clay, Sandia National Laboratories, USA - Nathan DeBardeleben, Los Alamos National Laboratory, 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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CVML live Web lectures 20th May 2020: 1) Motion estimation, 2) Introduction to Machine Learning. Change of CVML web lectures date/time.
by ioannakoroni＠csd.auth.gr 15 May '20

15 May '20

Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to have launched the live CVML Web lecture series that covers very important Computer Vision/Machine Learning topics. Two new upcoming 45 min lectures will take place soon: 1) Motion estimation 2) Introduction to Machine Learning New!: Date/time: Wednesday 20th May 2020, 17:00-18:30 EEST for both lectures (7:00-8:30 am California time, 10:00-11:30 am New York time, 22:00-23:30 Beijing time). Registration can be done using the link: <http://icarus.csd.auth.gr/cvml-web-lecture-series/> http://icarus.csd.auth.gr/cvml-web-lecture-series/ Registration for asynchronous access to CVML live Web lecture material (video, pdf/ppt) for any past/present lecture can be done using the link: <http://icarus.csd.auth.gr/cvml-web-lecture-series/> http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lecture abstracts 1) Motion estimation, Wednesday 20th May 2020, 17:00-17:45 EEST Summary: Motion estimation principals will be analyzed. Initiating form 2D and 3D motion models, displacement estimation as well as quality metrics for motion estimation will subsequently be detailed. One of the basic motion estimation techniques, namely block matching, will also be presented, along with three alternative, faster methods. A good overview of deep neural notion estimation will be presented. Phase correlation will be described, next followed by optical flow equation methods. Finally, a brief introduction to object detection and tracking will conclude the lecture. 2) Introduction to Machine Learning, Wednesday 20th May 2020, 17:45-18:30 EEST Summary: This lecture will cover the basic concepts of Machine Learning. Supervised, self-supervised, unsupervised, semi-supervised learning. Multi-task Machine Learning. Classification, regression. Object detection, Object tracking. Clustering. Dimensionality reduction, data retrieval. Artificial Neural Networks. Adversarial Machine Learning. Generative Machine Learning. Temporal Machine learning (Recurrent Neural Networks). Continual Learning (few-shot learning, online learning). Reinforcement Learning. Adaptive learning (Knowledge Distillation, Domain adaptation, Transfer learning, Activation Pattern Analysis, Federated learning/Collaborative learning, Ensemble learning). Precise mathematical definitions of ML tasks will be presented. Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. His current interests are in the areas of machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 31000+ citations to his work and h-index 83+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: <https://multidrone.eu/> https://multidrone.eu/ and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative <https://ieeeasi.signalprocessingsociety.org/> https://ieeeasi.signalprocessingsociety.org/. Lecturing record of Prof. I. Pitas: He was Visiting/Adjunct/Honorary Professor/Researcher and lectured at several Universities: University of Toronto (Canada), University of British Columbia (Canada), EPFL (Switzerland), Chinese Academy of Sciences (China), University of Bristol (UK), Tampere University of Technology (Finland), Yonsei University (Korea), Erlangen-Nurnberg University (Germany), National University of Malaysia, Henan University (China). He delivered 90 invited/keynote lectures in prestigious international Conferences and top Universities worldwide. He run 17 short courses and tutorials on Autonomous Systems, Computer Vision and Machine Learning, most of them in the past 3 years in many countries, e.g., USA, UK, Italy, Finland, Greece, Australia, N. Zealand, Korea, Taiwan, Sri Lanka, Bhutan. Relevant links: a) Prof. I. Pitas: <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el b) AIIA Lab <http://www.aiia.csd.auth.gr> www.aiia.csd.auth.gr General information: Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. These two lectures are part of a 14 lecture CVML web course 'Computer vision and machine learning for autonomous systems' (April-June 2020): Introduction to autonomous systems (delivered 25th April 2020) Introduction to computer vision (delivered 25th April 2020) Image acquisition, camera geometry (delivered 2nd May 2020) Stereo and Multiview imaging (delivered 9th May 2020) Structure from Motion (delivered 9th May 2020) 2D convolution and correlation algorithms Motion estimation Introduction to Machine Learning Introduction to neural networks, Perceptron, backpropagation Deep neural networks, Convolutional NNs Deep learning for object/target detection Object tracking Localization and mapping Fast convolution algorithms. CVML programming tools. Sincerely yours Prof. Ioannis Pitas Director of Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in <https://lists.auth.gr/sympa/info/cvml> 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

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GrAPL 2020 - Virtual Event - Call for Participation
by Tumeo, Antonino 15 May '20

15 May '20

[Please accept our apologies for multiple postings.] CALL FOR PARTICIPATION ******************************************************************************* GrAPL 2020: Workshop on Graphs, Architectures, Programming, and Learning https://hpc.pnl.gov/grapl/ May 18, 2020 8AM – 10AM PDT IMPORTANT: This year, GrAPL will hold two LIVE 45 minute Q&A sessions with the authors of the accepted papers and invited talks according to the schedule below. Papers and static presentations for the entire conference including the GrAPL Workshop will be made available to all conference registrants by Friday May 15th. Register for free at the IPDPS website (http://www.ipdps.org) to get instructions on how to access to this content. In addition, links to 3-5 minute lightning talks by the workshop speakers will be found at the GrAPL website (https://hpc.pnl.gov/grapl/) by May 15th. To attend the Zoom Sessions, we ask participants to register in advance at the following link: https://tinyurl.com/grapl2020 The organizing committee will then provide the link to the session. ****************************************************************************** Program for May 18th: 0800 – 0845 (PDT): Session 1 Welcome message. Algorithms and Applications Kronecker Graph Generation with Ground Truth for 4-Cycles and Dense Structure in Bipartite Graphs Trevor Steil (University of Minnesota), Scott McMillan (SEI, Carnegie Mellon University), Geoffrey Sanders (LLNL), Roger Pearce (LLNL), Benjamin Priest (LLNL) A scalable graph generation algorithm to sample over a given shell distribution M. Yusuf Özkaya (Georgia Institute of Technology), Muhammed Fatih Balin (Georgia Institute of Technology), Ali Pinar (SNL), Ümit V. Çatalyürek (Georgia Institute of Technology) An incremental GraphBLAS solution for the 2018 TTC Social Media case study Márton Elekes (Budapest University of Technology and Economics), Gábor Szárnyas (Budapest University of Technology and Economics) Linear Algebraic Louvain Method in Python Tze Meng Low (Carnegie Mellon University), Daniele Spampinato (Carnegie Mellon University), Scott McMillan (SEI, Carnegie Mellon University), Michel Pelletier (FPX, LLC) 0900 – 0945 (PDT): Session 2 Keynote - The GraphIt Universal Graph Framework: Achieving High-Performance across Algorithms, Graph Types and Architectures Saman Amarasinghe (Massachusetts Institute of Technology) API's and Implementations Parallelizing Maximal Clique Enumeration on Modern Manycore Processors Jovan Blanuša (IBM Research - Zürich, EPFL), Radu Stoica (IBM Research - Zürich), Paolo Ienne (EPFL), Kubilay Atasu (IBM Research - Zürich) A Roadmap for the GraphBLAS C++ API Benjamin A. Brock (UC Berkeley), Aydın Buluç (LBNL), Timothy G. Mattson (Intel), Scott McMillan (SEI, Carnegie Mellon University), José E. Moreira (IBM) Considerations for a Distributed GraphBLAS API Benjamin A. Brock (UC Berkeley), Aydın Buluç (LBNL), Timothy G. Mattson (Intel), Scott McMillan (SEI, Carnegie Mellon University), José E. Moreira (IBM), Roger Pearce (LLNL), Oguz Selvitopi (LBNL), Trevor Steil (University of Minnesota) 75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices Jeremy Kepner (MIT Lincoln Laboratory) ****************************************************************************** GrAPL is the result of the combination of two IPDPS workshops: GABB: Graph Algorithms Building Blocks GraML: Workshop on The Intersection of Graph Algorithms and Machine Learning SUMMARY ------- Data analytics is one of the fastest growing segments of computer science. Many real-world analytic workloads are a mix of graph and machine learning methods. Graphs play an important role in the synthesis and analysis of relationships and organizational structures, furthering the ability of machine-learning methods to identify signature features. Given the difference in the parallel execution models of graph algorithms and machine learning methods, current tools, runtime systems, and architectures do not deliver consistently good performance across data analysis workflows. In this workshop we are interested in graphs, how their synthesis (representation) and analysis is supported in hardware and software, and the ways graph algorithms interact with machine learning. The workshop’s scope is broad and encompasses the wide range of methods used in large-scale data analytics workflows. This workshop seeks papers on the theory, model-based analysis, simulation, and analysis of operational data for graph analytics and related machine learning applications. In particular, we are interested, but not limited to the following topics: • Provide tractability and performance analysis in terms of complexity, time-to-solution, problem size, and quality of solution for systems that deal with mixed data analytics workflows; • Discuss the problem domains and problems addressable with graph methods, machine learning methods, or both; • Discuss programming models and associated frameworks such as Pregel, Galois, Boost, GraphBLAS, GraphChi, etc., for building large multi-attributed graphs; • Discuss how frameworks for building graph algorithms interact with those for building machine learning algorithms; • Discuss hardware platforms specialized for addressing large, dynamic, multi-attributed graphs and associated machine learning; Besides regular papers, short papers (up to four pages) describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. ORGANIZATION ------------ General co-Chairs: Scott McMillan (CMU SEI), smcmillan(a)sei.cmu.edu Manoj Kumar (IBM), manoj1(a)us.ibm.com Program Chairs: Danai Koutra (University of Michigan, Ann Arbor), dkoutra(a)umich.edu Mahantesh Halappanavar (PNNL), hala(a)pnnl.gov GrAPL's Little Helpers: Tim Mattson (Intel) Antonino Tumeo (PNNL) Program Committee: Nesreen K Ahmed, Intel Research and Intel AI, USA Sasikanth Avancha, Intel Labs - Parallel Computing Lab, India Aydin Buluç, Lawrence Berkeley National Lab, USA Timothy A. Davis, University of Florida, USA Jana Doppa, Washington State University, USA John Gilbert, University of California at Santa Barbara, USA Sergio Gómez, Universitat Rovira i Virgili, Catalonia Will Hamilton, McGill University, Mila, Canada Stratis Ioannidis, Northeastern University, Boston, USA Bharat Kaul, Intel Labs - Parallel Computing Labs, India Kamesh Madduri, The Pennsylvania State University, USA Henning Meyerhenke, Humboldt University of Berlin, Germany Indranil Roy, Natural Intelligence, USA Robert Rallo, Pacific Northwest National Lab, USA P. Sadayappan, University of Utah, USA Yizhou Sun, University of California, Los Angeles, USA Flavio Vella, Free University of Bozen, Italy Steering Committee: David A. Bader (New Jersey Institute of Technology) Aydın Buluç (LBNL) John Feo (PNNL) John Gilbert (UC Santa Barbara) Tim Mattson (Intel) Ananth Kalyanaraman (Washington State University) Jeremy Kepner (MIT Lincoln Laboratory) Antonino Tumeo (PNNL)

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FIRST INTERNATIONAL WORKSHOP ON LEVERAGING MACHINE LEARNING IN PROCESS MINING ML4PM 2020 - 5 OCTOBER, 2020 - PADUA, ITALY
by Paolo Ceravolo 14 May '20

14 May '20

FIRST INTERNATIONAL WORKSHOP ON LEVERAGING MACHINE LEARNING IN PROCESS MINING ML4PM 2020 - 5 OCTOBER, 2020 - PADUA, ITALY http://ml4pm2020.di.unimi.it AN ACTIVITY FROM THE IEEE TASK FORCE ON PROCESS MINING ON THE INTERNATIONAL CONFERENCE ON PROCESS MINING (https://icpmconference.org/2020/) ## About ML4PM The interest in Machine Learning applications in 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 online (due to covid-19), 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. Full papers must be written in English, not exceed 12 pages and must be an original contribution, not previously published or under review. Workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). ### Virtual conference Due to the exceptional circumstances of the COVID-19 outbreak, ICPM 2020 will be a fully virtual conference, with no travel involved. However, the entire program, including the co-located events, will be retained, and will not change. With the spirit of keeping the entire conference as interactive as possible, presentations will be given live using webinars. The presentations will also be broadcasted, and also available after the conference for off-line viewing. Attendees will be able to ask questions, which will be answered at the end of the each presentation. When multiple sessions run in parallel (e.g., workshops), the conference will feature parallel virtual rooms. ### 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 Submissions must use the Springer LNCS/LNBIP format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) Submissions must be in English and cannot exceed 12 pages (including tables, figures, the bibliography and appendices). Each paper should clarify the relation of the paper to the workshop’s main topics, clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this workshop. Accepted papers will be presented during one of the workshop’s sessions and one author of each accepted paper must register and participate in the workshop. ### Important Dates Abstract Submission: August 18 2020 Paper Submission: August 25 2020 Notification of Acceptance: September 14 2020 Submission of Camera Ready Papers: September 22 2020 Workshop: October 5 2020 ## Organizers * 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 María Teresa Gómez, University of Seville Rafael Accorsi, PwC Digital Services Niek Tax, Booking.com Josep Carmona, Universitat Politècnica de Catalunya Ernesto Damiani, Khalifa University of Science Technology Chiara Di Francescomarino, Fondazione Bruno Kessler Antonella Guzzo, Università della Calabria Mariangela Lazoi, University of Salento Matthias Ehrendorfer, University of Vienna Fabrizio Maria Maggi, University of Tartu Paola Mello, Università di Bologna Gabriel Marques Tavares, Università degli Studi di Milano Emerson Cabrera Paraiso, Pontifícia Universidade Católica do Paraná Bruno Bogaz Zarpelão, State University of Londrina Irene Teinemaa, Booking.com Michelangelo Ceci, University of Bari Aldo Moro Natalia Sidorova, Eindhoven University of Technology

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Postdoc position at UGR: Marie Skłodowska-Curie fellowship in Automation of Systematic Reviews
by Juan Manuel Fernández Luna 11 May '20

11 May '20

The University of Granada, Spain, and more specifically its Department of Computer Science and Artificial Intelligence offers a Marie Skłodowska-Curie individual European fellowship on the automation of systematic reviews using Artificial Intelligence. Published biomedical research needs to be synthesised for health practitioners. This currently takes too long to contemporaneously enhance health care quality because the methods of evidence synthesis that bring together published studies to underpin guidance for practice have well recognised, serious delays taking on average 5 staff members over 12 months to complete a review. We postulate that artificial intelligence (AI) can assist in evidence synthesis, improving the timeliness of guidelines. The objective of this project is, using beyond state-of-the-art AI methodology, develop an integrated system using modern AI technologies to support the complete process of systematic reviews. We will validate the performance the AI-based system quantifying its accuracy, precision, heterogeneity, bias and generalizability compared to a standard meta-analysis. We wish to form an international consortium of well-established researchers with individually distinctive track records in computer science, systematic review, study quality assessment, meta-analysis, evidence grading, public health, cardiometabolic research, and various forms of evidence synthesis including both randomized and real-world data. This will allow the delivery of a much-needed, exciting, ground breaking, high-quality and impactful project. Our output will help accelerate the process of meta-analyses, evidence synthesis and transfer of research into guidelines for improving the quality of health care. So we are looking for an experienced researcher with a PhD in Computer Science, with a strong background in Information Retrieval, Machine Learning, Natural Language Processing and Text Mining to be integrated in a friendly and strong research group. She/he will collaborate with a multidisciplinary team in order to automating several of the stages of systematic reviews, where all these previously disciplines must be involved. The candidate will work and live at the beautiful city of Granada, at southern Spain. Those interested candidates should send a letter of interest and presentation (including the reasons why she/he would be interested in this position, her/his possible contributions to the research and skills) to Juan Manuel Fernández Luna (jmfluna <at> decsai.ugr.es) in addition to her/him CV. After a first selection from all the CVs, the selected candidate will work with the members of the research team to elaborate a successful proposal. More information about the fellowship is in the following link: https://euraxess.ec.europa.eu/jobs/hosting/msca-if-joint-application-univer… And about the call in this one: *https://ec.europa.eu/research/mariecurieactions/actions/individual-fellowships_en * ----------- Juan M. Fernández Luna Department of Computer Science and Artificial University of Granada, Spain.

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Call For Workshop Proposals - IEEE International Conference on High Performance Computing, Data, and Analytics 2020
by sanmukh＠hipc.org 09 May '20

09 May '20

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2020 CALL FOR WORKSHOP PROPOSALS ********************************************************************* The 27th annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2020) will be held in Pune, India, December 16-19, 2020. Complementing the main technical program, HiPC workshops serve to broaden the technical scope of the conference in emerging areas of high performance computing, networking, data analytics, and their applications. Held on the first day of the conference, HiPC workshops will typically be half-day events although proposals for full-day workshops will also be considered. Workshops should have contributed papers in their program, and can have invited talks, poster sessions, and panel discussions as part of their technical program. Workshop organizers are responsible for preparing the call for papers to their workshops and also peer-review all submissions in accordance with the conference and IEEE guidelines. Papers accepted for presentation at the HiPC 2020 workshops will be included in the workshops volume of the conference proceedings with a separate ISBN (HiPCW 2020) and will be distributed online. Post-conference, papers presented at the conference and eligible for inclusion will be made available to the IEEE Xplore Digital Library. Deadlines and Important Dates Workshop proposal submissions: May 20, 2020 Workshop proposal notifications: May 31, 2020 Workshop Website and CFP: June 15, 2020 Workshop organizers should further note the deadlines for their workshop organization to coordinate the proceedings of the main conference: Notification of Workshop papers accepted: October 14th, 2020 Workshop Camera-ready: October 28th, 2020 Final submission of workshop program and materials and full workshop websites online: November 7, 2020 Workshop date: December 16, 2020 Workshop Themes The topics of the proposed workshop should complement those listed in the main conference call for papers. Each workshop should be centered around a coherent theme or topic related to HPC and/or scalable data science; We particularly encourage workshop themes that relate to emerging areas and/or emerging application contexts of societal value (e.g., agriculture, energy, sustainability, workforce development). Workshop proposals will need to clearly state the purpose and the applications of the techniques in the abstract. Workshop proposers will also need to clearly identify how they are going to attract papers and speakers. What/Where to Submit Potential HiPC workshop organizers should submit a workshop proposal that contains the items listed below. The proposal should also specify steps to be taken to develop a high-quality program committee and attract high-quality submissions to place the workshop(s) in a competitive international landscape. Workshops will be held on the first day of the conference, i.e., December 16th. Workshops may be proposed as a half-day program, running for 3 hours in the morning or afternoon, or as a full day program. In the case of the latter, organizers should explain how they will attract sufficient participation to develop a full day program of peer-reviewed papers. Proposals to organize a workshop at HiPC 2020 should include: * Description: title; topics to be addressed; goals; relevance and significance to the main conference. * Names, affiliations and contact information for organizers. * Plans for soliciting submissions, and the process for selecting papers to be presented at the workshop and included in the workshop proceedings. * Tentative names of Keynote/ invited speakers * Tentative program outline, identifying key elements such as panels, discussion sessions, poster sessions, invited talks, etc. * Tentative list of PC members to be recruited * A detailed timeline of the peer-review process The proposal should not exceed three pages and should be submitted as a pdf file to the HiPC Workshops Chairs at workshops(a)hipc.org. For additional information about organizing an HiPC workshop, see the FAQs sheet on the website. Workshop Co-Chairs Josephine Namayanja, University of Massachusetts, Boston Antonino Tumeo Pacific Northwest National Laboratory

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CVML live Web lectures 9th May 2020: 1) Structure from Motion 2) 2D convolution and correlation algorithms
by ioannakoroni＠csd.auth.gr 04 May '20

04 May '20

Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Two lectures will take place on Saturday 9th May 2020: 1) Structure from Motion 2) 2D convolution and correlation algorithms Date/time: a) Saturday 11:00-12:30 EET (17:00-18:30 Beijing time) for audience in Asia and will be repeated b) Saturday 20:00-21:30 EET (13:00-14:30 EST, 10:00-11:30 PST for NY/LA, respectively) for audience in the Americas. Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ From this week onwards, asynchronous access to past CVML live Web lecture material (video, pdf/ppt) will be allowed. Separate email will be sent for this option. Lectures abstract 1) Structure from Motion Summary: Image-based 3D Shape Reconstruction, Stereo and multiview imaging principles. Feature extraction and matching. Triangulation and Bundle Adjustment. Mathematics of structure from motion. UAV image capturing. Optimal UAV flight trajectory/flight height/viewing angle/image overlap ratio. Pre/post-processing for 3D reconstruction: flat surface smoothing/mesh modification/isolated point removal. Structure from motion applications: 3D face reconstruction from uncalibrated video. 3D landscape reconstruction. 3D building/monument reconstruction and modeling, 2) 2D convolution and correlation algorithms Summary: 2D convolutions play an extremely important role in machine learning, as they form the first layers of Convolutional Neural Networks (CNNs). They are also very important for computer vision (template matching through correlation, correlation trackers) and in image processing (image filtering/denoising/restoration). 3D convolutions are very important for machine learning (video analysis through CNNs) and for video filtering/denoising/restoration. 1D convolutions are extensively used in digital signal processing (filtering/denoising) and analysis (also through CNNs). Therefore, 2D convolution and correlation algorithms are very important both for machine learning and for signal/image/video processing and analysis. As their computational complexity is of the order O(N^4), their fast execution is a must. This lecture will overview 1D/2D linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(Nlog2N), O(N^2log2N) for 1D and 2D convolutions respectively. Parallel block-based 2D convolution/calculation methods will be overviewed. The use of 2D convolutions in Convolutional Neural Networks will be presented. Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el AIIA Lab www.aiia.csd.auth.gr <http://www.aiia.csd.auth.gr> Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. These two lectures are part of a 14 lecture CVML web course 'Computer vision and machine learning for autonomous systems' (April-June 2020): Introduction to autonomous systems (delivered 25th April 2020) Introduction to computer vision (delivered 25th April 2020) Image acquisition, camera geometry (delivered 2nd May 2020) Stereo and Multiview imaging (delivered 2nd May 2020) 3D object/building/monument reconstruction and modeling Signals and systems. 2D convolution/correlation Motion estimation Introduction to Machine Learning Introduction to neural networks, Perceptron, backpropagation Deep neural networks, Convolutional NNs Deep learning for object/target detection Object tracking Localization and mapping Fast convolution algorithms. CVML programming tools. Sincerely yours Prof. Ioannis Pitas Director of AIIA Lab, Aristotle University of Thessaloniki, Greece

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CFP and Workshops: 10th ICTH 2020 to be held in Madeira, Portugal - 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare
by MOHAMMED MOHAMMED FATTAH 30 Apr '20

30 Apr '20

[Please accept our apologies if you receive multiple copies of this CFP] *The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH)* *Date*: November 2-5, 2020 *Location*: Madeira, Portugal *Website*: http://cs-conferences.acadiau.ca/icth-20/ *Important Dates*--------------- - *Workshop Proposals*: May 30, 2020 - *Paper Submission Due*: June 15, 2020 - *Author Notification*: August 2, 2020 - *Final Manuscript Due*: August 30, 2020 *Publication* ----------- All ICTH 2020 accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier on www.Elsevier.com <http://www.elsevier.com/> and on Elsevier content platform ScienceDirect (www.sciencedirect.com) and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com) and by Thomson Reuters' Conference Proceeding Citation Index ( http://thomsonreuters.com/conference-proceedings-citation-index/) All papers in Procedia will also be indexed by Scopus (www.scopus.com) and Engineering Village (Ei) (www.engineeringvillage.com) This includes EI Compendex (www.ei.org/compendex) Moreover, all accepted papers will be indexed in DBLP (http://dblp.uni-trier.de/) The papers will contain linked references, XML versions and citable DOI numbers. Selected papers will be invited for publication, in the special issues of: - International Journal of Ambient Intelligence and Humanized Computing (IF: 1.901), by Springer ( http://www.springer.com/engineering/journal/12652) - International Journal of Computing and Informatics (IF: 0.524), ( http://www.cai.sk/ojs/index.php/cai/index) - International Journal of E-Health and Medical Communications, by IGI Global: ( http://www.igi-global.com/journal/international-journal-health-medical-comm… ) ICTH 2020 will be held in conjunction with the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSN: http://cs-conferences.acadiau.ca/euspn-20/) Papers on either completed or ongoing research are invited: http://cs-conferences.acadiau.ca/icth-20/call-for-papers.html ICTH 2020 will be held in Madeira, a Portuguese archipelago. Madeira is a popular year-round tourist destination, known for its remarkable mountainous scenery and mild year-long climate. Although, Madeira is part of Europe it is approximately 1,000 km from the continent while being only 520 km from the coast of Africa. It is about an hour and a half flight from the capital of Portugal, Lisbon. Funchal, the picturesque capital of Madeira, is situated on the south coast of the island and one of Atlantic Oceans most popular cruise ship ports. Madeira is a scenic island with many unique destinations such as the Laurisilva forest, a UNESCO World Heritage site. *Topics of interest include, but are not limited to*: ------------------------------------------- - Ambient Assisted Living for Elderly Care - Ambient Intelligence and Intelligent Service Systems - Analysis and Evaluation of Healthcare Systems - Clinical Data and Knowledge Management - Cloud Computing for Healthcare - Collaboration Technologies for Healthcare - Context-aware Applications for Patient Monitoring and Care - Data mining Techniques and Data Warehouses in Healthcare - Data Visualization - Decision Support Systems in Healthcare - Design and Development Methodologies for Healthcare Systems - Diagnostic and Therapeutic Technologies in Healthcare - Digital Hospitals - Drug Information Systems - E-health & m-health - Electronic Health Records (EHR) & Personal Health Records (PHR) - Evidence Based Medicine (EBM) - Healthgrids - Health Portals - Information and Knowledge Processing in Healthcare Environments - Middleware Support for Smart Homes and Intelligent Applications - Quantified Self for Pervasive Healthcare - Privacy, Confidentiality and Security Issues in Healthcare Systems - Related Real World Experimentations and Case Studies in Healthcare - RFID Solutions for Healthcare - Smart Homes and Home Care Intelligent Environments - Telemedicine and Health Telematics - Ubiquitous and Pervasive Computing in Healthcare - Usability & Socio Technical studies - User Interface Design for Healthcare Applications - Virtual and Augmented Reality in Healthcare - Virtual Environments for Healthcare *Committees* ---------- General Chairs Heiko Gewald, The Neu-Ulm University of Applied, Germany Joel J. P. C. Rodrigues, National Institute of Telecommunications (Inatel), Brazil Program Chairs Stéphane Galland, Université de Technologie de Belfort-Montbéliard, France Nuno Varandas, F6S (Where Founders Grow Together), Portugal Local Arrangements Chairs Rui Neves Madeira, Polytechnic Institute of Setúbal, Portugal Nelson Rocha, University of Aveiro, Portugal Workshops Chair Haroon Malik, Marshall University, USA International Journals Chair Bin Guo, Northwestern Polytechnical University, China Publicity Chairs Sony Guntuka, Acadia University, Canada Mohammed Fattah, Moulay Ismail University, Morocco Technical Program Committee http://cs-conferences.acadiau.ca/icth-20/program-committees.html Steering Committee Chair Elhadi Shakshuki, Acadia University, Canada Advisory Committee Abdullah Ali Al-Maniri, Oman Medical Specialty Board, Oman Sergio Camorlinga, Head eHealth Research, TRLabs, Canada Kevin Daimi, University of Detroit Mercy, USA Finn Kensing, University of Copenhagen, Denmark Francesco Princiroli, Politecnico di Milano, Italy Abdul Roudsari, University of Victoria, Canada

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CFP: Resilience@Euro-Par 2020 - Papers due May 29
by Thomas Naughton 30 Apr '20

30 Apr '20

We apologize if you receive multiple copies of this call for papers. -------------------------------------------------------------------------------- 13th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> in conjunction with the 26th International European Conference on Parallel and Distributed Computing (Euro-Par), Warsaw, Poland August 24 - 28, 2020 <http://2020.euro-par.org> 2020 Workshop Format: Due to the exceptional situation of COVID-19, this year Euro-Par and its workshops will be organized as an all-virtual event. This includes the main conference and workshops. The accepted workshop papers must be presented by one of the authors in order to be included in the proceedings. There will be a single minimal registration fee for each accepted paper in order to cover expenses associated with organization and proceedings publication. Lastly, the preferred presentation format for the workshop will be via a streaming presentation, with slides and pre-recorded video presentations used in exceptional situations. 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 2020 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> - Resilience 2020 Submissions: <https://easychair.org/conferences/?conf=europar2020workshop> - Euro-Par 2020 website: <http://2020.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 29, 2020 - Workshop author notification: July 3, 2020 - Workshop author registration: TBA - Workshop paper (for informal workshop proceedings): July 10, 2020 - Workshop date: August 24 or 25, 2020 - Workshop camera-ready papers: September 11, 2020 (after the conference) 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 _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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Graphical Models for Security (GraMSec 2020) - Deadline extended until May 4
by Barbara Fila (Kordy) 22 Apr '20

22 Apr '20

*The GraMSec submission deadline is extended to Monday, May 4.* Please find below the full CFP. ====================================================================== GraMSec 2020: The Seventh International Workshop on Graphical Models for Security http://gramsec.uni.lu June 22, 2020 *Online event* Co-located with CSF 2020 *LNCS post-proceedings confirmed* SCOPE The use of graphical security models to represent and analyse the security of systems has gained an increasing research attention over the last two decades. Formal methods and computer security researchers, as well as security professionals from the industry and government, have proposed various graphical security models, metrics, and measurements. Graphical models are used to capture different security facets and address a range of challenges including security assessment, automated defence, secure services composition, security policy validation, and verification. The International Workshop on Graphical Models for Security is an established scientific event dedicated to study and exchange of experiences on graphical security and safety modelling. TOPICS This year, we encourage excellent submissions related, but not restricted, to the following broad headings: 1. Graph representations: mathematical, conceptual, and implemented tools for describing and reasoning about security and safety 2. Logical approaches: formal logical tools for representing and reasoning about graphs and their use as modelling tools in security 3. Machine learning: modelling and reasoning about the role of big data and machine learning in security operations 4. Networks in national security: terrorist networks, counter-terrorism networks; safety in national infrastructure (e.g., utilities and transportation) 5. Risk analysis and management: models and graphical methodologies for security and privacy risk management in business and organisational architectures 6. Social networks: using and reasoning about social graphs, network analysis, network protocols, social mapping, sociometry. 7. Semantics: developing or studying semantic approaches to graph-based models used in security like set theoretic models, categorical models, logical models, etc. 8. Threat modelling: modelling and analysing software systems security, models for DevSecOps, etc. 9. Security requirements: models and tools for describing and analysing requirements on system security and privacy. 10. Visual security: modelling and analytics for security visualisations. 11. Secure systems: safe and secure system design, quantification of security/safety, models for system security/safety evaluation. We welcome a broad range of contributions: from theory to tools and experience reports. Preference will be given to papers likely to stimulate high-quality debate at the Workshop. SUBMISSION GUIDELINES We solicit two types of submissions: - Regular papers (up to 18 pages, excluding the bibliography and well-marked appendices) describing original and unpublished work within the scope of the workshop. - Short papers (up to 10 pages, excluding the bibliography and well-marked appendices) describing original and unpublished work in progress. The reviewers are not required to read the appendices, so the papers should be intelligible without them. All submissions must be prepared using the LNCS style. Each paper will undergo a thorough review process. Submissions should be made using the GraMSec 2020 EasyChair website: https://easychair.org/conferences/?conf=gramsec2020. PUBLICATION As in previous editions, we the post-proceedings will be published in the Lecture Notes in Computer Science (LNCS) series, published by Springer. Proceedings will be published after the workshop, thus permitting the authors to incorporate feedback. VENUE Due to the current coronavirus outbreak, the IEEE CSF Symposium and its associated workshops, including GraMSec, will be held online this year. Details about registration and participation will be soon made available. IMPORTANT DATES Given the situation and the fact that the workshop will be held online, we will keep only one submission deadline. - Paper submissions due: Monday, May 4, 2020 - Notifications: Friday, May 29, 2020 - Workshop: Monday, June 22, 2020 - Camera ready versions due: Friday, August 7, 2020 PROGRAM CHAIRS Harley Eades III, Augusta University, United States of America Olga Gadyatskaya, Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands STEERING COMMITTEE Sushil Jajodia, George Mason University, United States of America Barbara Fila, INSA Rennes, IRISA, France Sjouke Mauw, University of Luxembourg, Luxembourg Christian W. Probst, Unitec, New Zealand Ketil Stølen, SINTEF Digital and University of Oslo, Norway PUBLICITY CHAIR Barbara Fila, INSA Rennes, IRISA, France WEB CHAIR Reynaldo Gil Pons, University of Luxembourg, Luxembourg

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[KDD Mining and Learning from Time Series 2020]: Call for papers
by Sanjay Purushotham 19 Apr '20

19 Apr '20

[KDD Mining and Learning from Time Series 2020]: Call for papers CFP Webpage: https://kdd-milets.github.io/milets2020/#call -------------------------------------------------------------- KDD Mining and Learning from Time Series (MiLeTS) 2020 Aug 24th, 2020 - San Diego, California, USA https://kdd-milets.github.io/milets2020/ -------------------------------------------------------------- ---------------- KEY DATES ---------------- Paper Submission Deadline: May 20th, 2020, 11:59PM Alofi Time Author Notification: June 15th, 2020 Camera Ready Version: July 2nd, 2020 Workshop: August 24th, 2020 -------------------------------------------------------------- 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 2020 EasyChair website. *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 list 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, 2020, 11:59PM Alofi Time Author Notification: June 15th, 2020 Camera Ready Version: July 2nd, 2020 Workshop: August 24th, 2020 ------------------------------- Organizing Committee ------------------------------- Sanjay Purushotham University of Maryland, Baltimore County Yaguang Li Google -------------------------- 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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Call For Papers - IEEE International Conference on High Performance Computing, Data, and Analytics 2020
by sanmukh＠hipc.org 19 Apr '20

19 Apr '20

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2020 CALL FOR PAPERS ********************************************************************* 27th IEEE International Conference on High Performance Computing, Data, and Analytics 16--19 December, 2020 in Pune India https://hipc.org/ PROGRAM CHAIRS HPC: Bora Uçar, CNRS and ENS Lyon, France Data Science: Gagan Agrawal, Augusta University, USA HPC TRACKS Algorithms: Kamesh Madduri, Pennsylvania State University, USA Applications: Yogesh Simmhan, Indian Institute of Science, India and Ana Lucia Varbanescu, University of Amsterdam, The Netherlands Architecture: Biswabandan Panda, IIT Kanpur, India System Software: Marco Aldinucci, University of Torino, Italy DATA SCIENCE TRACKS Scalable Algorithms and Analytics: Bingsheng He, National University of Singapore and Amelie Chi Zhou, Shenzhen University, China Scalable Systems and Software: Suren Byna, Lawrence Berkeley National Laboratory, USA HiPC 2020 will be the 27th 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 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, manycores, 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). 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 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): * 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 (2020) Abstract Submissions : June 8, 2020 Paper Submissions : June 15, 2020 Reviews for Rebuttals: August 4, 2020 Initial Submission Decisions: August 21, 2020 Revisions Due: September 22, 2020 Author Notifications: October 2, 2020 Camera Ready: October 16, 2020 Manuscript Guidelines 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 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. See style templates for details: •LaTex Package (ZIP) – will be linked •Word Package (ZIP) – will be linked Electronic submissions must be in the form of a readable PDF file. 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. 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. Authors may contact the Program Chair at the email address below for further information or clarification. A published proceedings will be available at the conference. 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 at the conference in person is a requirement of publication. Any paper that is not presented at the conference will not be included in IEEE Xplore. Authors of selected high quality papers in HiPC 2020 will be invited to submit extended versions of their papers for possible publication in a special issue of Journal of Parallel and Distributed Computing. Submit your paper: https://easychair.org/conferences/?conf=hipc2020. __________________________________________________________________________ HiPC 2020 is co-sponsored by * IEEE Computer Society Technical Committee on Parallel Processing (TCPP) * HiPC Education Trust, India In cooperation with: * ACM Special Interest Group on Algorithms and Computation Theory (SIGACT); * ACM Special Interest Group on Computer Architecture (SIGARCH); * IFIP Working Group on Concurrent Systems; * Manufacturers' Association for Information Technology (MAIT); * National Association of Software and Service Companies (NASSCOM).

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[PSD 2020, deadline approaching] PRIVACY IN STATISTICAL DATABASES, Springer LNCS, Arezzo, Italy, Sep. 23-25, 2020
by Joaquin Garcia-Alfaro 17 Apr '20

17 Apr '20

[apologies for cross-posting] PRIVACY IN STATISTICAL DATABASES 2020 (PSD 2020) ================================================ Arezzo, Italy, Sep. 23-25, 2020 http://unescoprivacychair.urv.cat/psd2020 Submission deadline: **MAY 24, 2020** ** In spite of Covid-19, we plan to organize PSD 2020 as scheduled. The submission deadline (May 24, 2020) stays valid ** 1. AIMS AND GOAL ----------------- Privacy in statistical databases is about finding trade-offs to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: statistical agencies or survey institutes cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed. Beyond respondent privacy, there are two additional privacy dimensions to be considered: privacy for the data owners (organizations owning or gathering the data, who would not like to share the data they have collected at great expense) and privacy for the users (those who submit queries to the database and would like their analyses to stay private). "Privacy in Statistical Databases 2020" (PSD 2020) is a conference sponsored and organized by the UNESCO Chair in Data Privacy (http://unescoprivacychair.urv.cat) with proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The purpose of PSD 2020 is to attract world-wide, high-level research in statistical database privacy. PSD 2020 is a successor to - PSD 2018 (Valencia, Sep. 26-28, 2018, https://unescoprivacychair.urv.cat/psd2018/) - PSD 2016 (Dubrovnik, Sep. 14-16, 2016, https://unescoprivacychair.urv.cat/psd2016/) - PSD 2014 (Eivissa, Sep. 17-19, 2014, http://unescoprivacychair.urv.cat/psd2014/) - PSD 2012 (Palermo, Sep. 26-28, 2012, http://unescoprivacychair.urv.cat/psd2012) - PSD 2010 (Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010) - PSD 2008 (Istanbul, Sep. 24-26, 2008, http://unescoprivacychair.urv.cat/psd2008) - PSD 2006 (Rome, Dec. 13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004 (Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004) all with proceedings published by Springer in LNCS 11126, LNCS 9867, LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those nine PSD conferences follow a tradition of high-quality technical conferences on SDC which started with "Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with proceedings published by OPOCE, and continued with the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published in Springer LNCS 2316. Like the aforementioned preceding conferences, PSD 2020 originates in Europe, but wishes to stay a worldwide event in database privacy and SDC. Thus, contributions and attendees from overseas are welcome. 2. ORGANIZATION --------------- PROGRAM COMMITTEE (More members to be confirmed soon) - Jane Bambauer (University of Arizona, USA) - Bettina Berendt (Katholieke Universiteit Leuven, Belgium) - Elisa Bertino (CERIAS, Purdue University, USA) - Aleksandra Bujnowska (EUROSTAT, European Union) - Jordi Castro (Universitat PolitËcnica de Catalunya) - Anne-Sophie Charest (UniversitÈ Laval, QuÈbec, Canada) - Chris Clifton (Purdue University, USA) - Graham Cormode (University of Warwick, UK) - Peter-Paul de Wolf (Statistics Netherlands) - Josep Domingo (Universitat Rovira i Virgili, Catalonia) - Joerg Drechsler (IAB, Germany) - Khaled El Emam (University of Ottawa, Canada) - Mark Elliot (Manchester University, UK) - SÈbastien Gambs (UniversitÈ du QuÈbec ‡ MontrÈal) - Sarah Giessing (Destatis, Germany) - Hiroaki Kikuchi (Meiji University, Japan) - Bradley Malin (Vanderbilt University, USA) - Laura McKenna (Census Bureau, USA) - Anna Monreale (Universit‡ di Pisa, Italy) - Krish Muralidhar (The University of Oklahoma, USA) - Anna Oganyan (National Center for Health Statistics, USA) - David Rebollo (Universitat Rovira i Virgili, Catalonia) - Jerry Reiter (Duke University, USA) - Yosef Rinott (Hebrew University, Israel) - Steven Ruggles (University of Minnesota, USA) - Nicolas Ruiz (OECD, European Union) - Pierangela Samarati (University of Milan, Italy) - David S·nchez (Universitat Rovira i Virgili, Catalonia) - Eric Schulte-Nordholt (Statistics Netherlands) - Natalie Shlomo (University of Manchester, UK) - Aleksandra Slavkovic (Penn State University, USA) - Jordi Soria-Comas (Catalan Data Protection Authority, Catalonia) - Tamir Tassa (The Open University, Israel) - Vicenc Torra (National University of Ireland-Maynooth, Ireland) - Lars Vilhuber (Cornell University, USA) PROGRAM CHAIR - Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i Virgili, Catalonia) GENERAL CHAIR - Krishnamurty Muralidhar (The University of Oklahoma, USA) ORGANIZATION COMMITTEE - Joaquin Garcia-Alfaro (Telecom SudParis, France) - Giulia Lombardi (The University of Oklahoma, Italy) - Jesus Manjon (Universitat Rovira i Virgili, Catalonia) - Romina Russo (Universitat Rovira i Virgili, Catalonia) 3. TOPICS OF INTEREST --------------------- Topics of interest include but are not limited to: - New anonymization methods for tabular data - New anonymization methods for microdata (including non-conventional microdata types such as trajectories, graphs, etc.) - Best anonymization practices for tabular data - Best anonymization practices for microdata - Co-utility for privacy preservation - Big data anonymization - Streaming data anonymization - Decentralized anonymization - Balancing data quality and data confidentiality in SDC - Differential privacy and other privacy models - SDC transparency issues - Onsite access centers - Remote access facilities - SDC software - Estimating disclosure risk in SDC - Record linkage methods - Real-life disclosure scenarios in EU-member states and abroad - Privacy preserving data mining (both cryptographic and non-cryptographic) - Private information retrieval - Privacy in web-based e-commerce - Privacy in healthcare - Privacy in official and corporate statistics - Other data anonymization issues 4. SUBMISSIONS -------------- Full papers containing either original technical contributions or high-quality surveys on the above topics or on related topics are sought. Camera-ready versions of accepted papers should be prepared using the LaTeX2estyle or the Word template of Springer Verlag Lecture Notes in ComputerScience. For LaTeX2e, a macro package llncs.zip and an example file typeinst.zip can be downloaded from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…. For Microsoft Word, a template word.zip can be downloaded from the same page above. We encourage authors to use the above formats already for their submissions. LENGTH OF SUBMISSIONS. Using the above format with 11 point font, the paper should be at most 12 pages excluding bibliography and appendices, and at most 16 pages total. Committee members are not required to read appendices; the paper should be intelligible without them. Submissions not meeting these guidelines risk rejection without consideration of their merits. 5. PROCEEDINGS -------------- Among PSD 2020 accepted papers, a selection will be made based on quality and coverage and the selected papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. This follows the tradition of the previous PSD conferences. The remaining accepted papers will be published in a USB with an ISBN. It is possible to submit a paper directly for the USB, which benefits from a later submission deadline (see USB-only dates below). The form of publication of an accepted paper will be clearly specified in the acceptance message. Both the LNCS volume and the CD will be *available at the conference*. 6. IMPORTANT DATES ------------------ Submission deadline: **MAY 24, 2020** Acceptance notification: June 26, 2020 Proceedings version due: July 5, 2020 USB-only submission deadline: July 5, 2020 USB-only acceptance notification: July 15, 2020 USB-only proceedings version due: July 22, 2020 Conference: Sep. 23-25, 2020 7. VENUE AND TRAVEL ------------------- The conference will take place at the San Francesco classroom annex of the 'Oklahoma University in Arezzo' facilities, located in the city of Arezzo. OU in Arezzo. San Francesco Classroom annex Piazza San Francesco, 18 Arezzo, Italy 52100 http://www.ou.edu/cis/education_abroad/programs/ou-in-arezzo Further venue, travel and accommodation information will be posted in due course at http://unescoprivacychair.urv.cat/psd2020 A number of travel grants are made available by the UNESCO Chair in Data Privacy, especially for authors and delegates from transition countries. Information on grants is posted in the conference web site. 8. REGISTRATION --------------- Registration information will be posted no later than June 2020 at http://unescoprivacychair.urv.cat/psd2020

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[CFP] 15th Workshop on Workflows in Support of Large-Scale Science (WORKS20)
by Hoang Nguyen 17 Apr '20

17 Apr '20

Apologies if you receive multiple copies of this email! ============================================================ 15th Workshop on Workflows in Support of Large-Scale Science (WORKS20) to be held in conjunction with SC 2020, Sun Nov 15, 9am-5:30pm Atlanta, GA, USA https://works-workshop.org ============================================================ Scientific workflows have been almost universally used across scientific domains and have underpinned some of the most significant discoveries of the past several decades. Workflow management systems (WMSs) provide abstraction and automation which enable a broad range of researchers to easily define sophisticated computational processes and to then execute them efficiently on parallel and distributed computing systems. As workflows have been adopted by a number of scientific communities, they are becoming more complex and require more sophisticated workflow management capabilities. A workflow now can analyze terabyte-scale data sets, be composed of one million individual tasks, require coordination between heterogeneous tasks, manage tasks that execute for milliseconds to hours, and can process data streams, files, and data placed in object stores. The computations can be single core workloads, loosely coupled computations, or tightly all within a single workflow, and can run in dispersed computing platforms. This workshop focuses on the many facets of scientific workflow management systems, ranging from actual execution to service management and the coordination and optimization of data, service, and job dependencies. The workshop covers a broad range of issues in the scientific workflow lifecycle that include: scientific workflows representation and enactment; workflow scheduling techniques to optimize the execution of the workflow on heterogeneous infrastructures; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, scheduling and fault detection and tolerance. WORKS20 will be held in conjunction with the SuperComputing (SC20), Atlanta, Georgia, USA, at Georgia World Congress Center (GWCC). Topics ------ WORKS20 welcomes original submissions in a range of areas, including but not limited to: * Big Data analytics workflows * Data-driven workflow processing (including stream-based workflows) * Workflow composition, tools, and languages * Workflow execution in distributed environments (including HPC, clouds, and grids) * Reproducible computational research using workflows * Dynamic data dependent workflow systems solutions * Exascale computing with workflows * In Situ Data Analytics Workflows * Interactive workflows (including workflow steering) * Workflow fault-tolerance and recovery techniques * Workflow user environments, including portals * Workflow applications and their requirements * Workflow optimizations (including scheduling and energy efficiency) * Performance analysis of workflows * Workflow debugging * Workflow provenance * Machine Learning workflows Papers should present original research and should provide sufficient background material to make them accessible to the broader community. Important Dates --------------- Full paper deadline: August 15, 2020 Paper acceptance notification: September 15, 2020 E-copyright registration completed by authors: October 1, 2020 Camera-ready deadline: October 1, 2020 Workshop: November 15, 2020 --------------------------------- Submission Guidelines: Full submission will be up to 8 pages long including references. All submitted papers will undergo a rigorous review process and each will have at least three reviews by members of the program committee. Papers will be accepted based on their technical contributions. --------------------------------- Organizing Committee - Rafael Ferreira da Silva, University of Southern California, USA - Rosa Filgueira, University of Edinburgh, UK General Chair - Ian Taylor, Cardiff University, UK, University of Notre Dame, USA Steering Committee - David Abramson, University of Queensland, Australia - Malcolm Atkinson, University of Edinburgh, UK - Ewa Deelman, University of Southern California, USA - Michela Taufer, University of Tennessee Publicity Chair - Hoang Anh Nguyen, University of Queensland, Australia Program Committee (tentative) - Pinar Alper – King's College London, UK - Ilkay Altintas – SDSC, USA - Khalid Belhajjame Universit. Paris-Dauphine, France - Ivona Brandic – TU Wien, Austria - Kris Bubendorfer – VUW, New Zealand - Jesus Carretero – Universidad Carlos III de Madrid, Spain - Henri Casanova – University of Hawaii at Manoa, USA - Rafael Ferreira da Silva – USC/ISI, USA - Daniel Garijo – USC/ISI, USA - Sandra Gesing – University of Notre Dame, USA - Tristan Glatard – Concordia University, Canada - Daniel Katz – UIUC, USA - Tamas Kiss – University of Westminster, UK - Dagmar Krefting – HTW Berlin, Germany - Maciej Malawski – AGH UST, Poland - Anirban Mandal – RENCI, USA - Marta Mattoso – UFRJ, Brazil - Paolo Missier – Newcastle University, UK - Hoang Anh Nguyen, University of Queensland, Australia - Jarek Nabrzyski – University of Notre Dame, USA - Daniel de Oliveira – UFF, Brazil - Ilia Pietri, Intracom SA Telecom Solutions, Greece - Loic Pottier – USC/ISI, USA - Radu Prodan – University of Innsbruck, Austria - Omer Rana – Cardiff University, UK - Ivan Rodero – Rutgers University, USA - Rizos Sakellariou – University of Manchester, UK - Frédéric Suter – CNRS, France - Andrew Stephen Mcgough – Newcastle University, UK - Domenico Talia – University of Calabria, Italy - Douglas Thain – University of Notre Dame, USA - Rafael Tolosana-Calasanz – Universidad de Zaragoza, Spain - Chase Wu – NJ Institute of Technology, USA

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CVML live Web lectures 25th April 2020: 1) Introduction to Autonomous Systems 2) Introduction to Computer Vision
by ioannakoroni＠csd.auth.gr 15 Apr '20

15 Apr '20

Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Two lectures will take place on Saturday 25th April 2020: 1) Introduction to Autonomous Systems 2) Introduction to Computer Vision Date/time: a) Saturday 11:00-12:30 EET (17:00-18:30 Beijing time) for audience in Asia and b) Saturday 20:00-21:30 EET (13:00-14:30 EST, 10:00-11:30 PST for NY/LA, respectively) for audience in the Americas. Registration can be done using the link: <http://icarus.csd.auth.gr/cvml-web-lecture-series/> http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lectures abstract 1) Introduction to Autonomous Systems Abstract: Mission planning and control, perception and intelligence, embedded computing, swarm systems, communications and societal technologies. a) autonomous cars, b) drones and drone swarms, c) autonomous underwater vehicles d) autonomous marine vessels and e) autonomous robots. 2) Introduction to Computer Vision Abstract: image/video sampling, Image and video acquisition, Camera geometry, Stereo and Multiview imaging, Structure from motion, Structure from X, 3D Robot Localization and Mapping, Semantic 3D world mapping, 3D object localization, Multiview object detection and tracking, Object pose estimation. Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: <https://multidrone.eu/> https://multidrone.eu/ and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative <https://ieeeasi.signalprocessingsociety.org/> https://ieeeasi.signalprocessingsociety.org/. Prof. I. Pitas: <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el AIIA Lab <http://www.aiia.csd.auth.gr> www.aiia.csd.auth.gr Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. These two lectures are part of a 14 lecture CVML web course 'Computer vision and machine learning for autonomous systems' (April-June 2020): 1. Introduction to autonomous systems 2. Introduction to computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. 3D object/building/monument reconstruction and modeling 6. Signals and systems. 2D convolution/correlation 7. Motion estimation 8. Introduction to Machine Learning 9. Introduction to neural networks, Perceptron, backpropagation 10. Deep neural networks, Convolutional NNs 11. Deep learning for object/target detection 12. Object tracking 13. Localization and mapping 14. Fast convolution algorithms. CVML programming tools. Sincerely yours Prof. Ioannis Pitas, Director of AIIA Lab, Aristotle University of Thessaloniki, Greece

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Bench'20 (http://www.benchcouncil.org/bench20/index.html) Call for Papers
by gaowanling＠ict.ac.cn 13 Apr '20

13 Apr '20

[Apologies if you receive multiple copies of this CFP] CALL FOR PAPERS ========================================================== 2020 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'20) http://www.benchcouncil.org/bench20/index.html Nov. 14th - Nov. 16th, 2020, Atlanta, Georgia, USA ========================================================== Introduction ---------------- Benchmarking, measuring, and optimizing are fundamental human activities. The organizing committee is pleased to invite you to take part in Bench'20 to be held in Atlanta, Georgia, USA. This symposium (Bench'20) is organized by the International Open Benchmarking Council (BenchCouncil). Bench'20 overlaps with SC 20 (Same place and same time), but it is NOT affiliated with the SC conference. The main themes of Bench'20 are benchmarking, measuring, and optimizing Big Data, AI, Block Chain, HPC, Datacenter, IoT, Edge and other things. The Bench conference has three defining characteristics. First, it provides a highquality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community as a whole. Second, it is a multi-disciplinary conference. The past conferences attracted the researchers and practitioners from the architecture, system, algorithms and application communities. Third, it includes both invited sessions and contributed sessions. Regularly, Bench'20 will present the BenchCouncil Achievement Award (3000$), the BenchCouncil Rising Star Award (1000$), and the BenchCouncil Best Paper Award (1000$). As its duty, BenchCouncil incubates, hosts benchmark projects, and further encourages reliable and reproducible research using the benchmarks from BenchCouncil or other organizations. To that end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers using all publicly available benchmarks. Each paper $100 prize, maximally up to 12 papers: 4 papers for each category of poster, spotlight, and oral. Call for papers ------------------------ Specific topics of interest include, but are not limited to, the following. **Synthetics or Real-world Data Sets of: **Benchmark, measurement, and optimization of: **Benchmark specifications and open-source implementation reports of: ** Methodologies, abstractions, metrics, algorithms, and tools in benchmark, measurement, and optimization for: ** Benchmark-driven domain-specific co-design of: ** Test methodologies and systems of: ** Workload characterization of: -Big Data -AI -HPC -Machine learning in HPC -Big scientific data -Datacenter -Cloud -Warehouse-scale computing -Mobile robotics -Edge and fog computing -IoT -Block chain -Data management and storage -Medicine, Finance and Education Paper Submission ------------------------ Papers must be submitted in PDF. For a full paper, the page limit is 8 pages in standard two-column IEEE conference format or 12 pages in LNCS format, not including references. For a short paper, the page limit is 4 pages in standard twocolumn IEEE conference format or 6 pages in LNCS format, not including references. The submissions will be judged based on the merit of the ideas rather than the length. After the conference, the proceeding will be published by Springer LNCS (Indexed by EI). Please note that LNCS format is the final one for publishing. After the acceptance decisions are made, the presentation mode of each paper is determined based on the recommendations as poster, spotlight, or oral. All accepted papers, regardless of presentation mode, appear in the proceedings as full-length papers. At least one author must pre-register for the symposium, and at least one author must attend the symposium to present the paper. Papers for which no author is preregistered will be pulled from the proceedings. Submission site: https://easychair.org/my/conference?conf=bench20# Improtant Dates --------------------- Registration of abstract (non-mandatory) June 15, 2020 Paper Submission July 15, 2020 Acceptance Notification Aug 15, 2020 Awards ---------- At Bench'20, several important awards will be given, which include: * 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 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 Award for Excellence for Reproduceable Research (Each paper $100 prize, maximally up to 12 papers: 4 papers for each category of poster, spotlight, and oral) - BenchCouncil incubates, hosts benchmark projects, and further encourages reliable and reproducible research using the benchmarks from BenchCouncil or other organizations. To that end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers using all publicly available benchmarks. Organization ----------------- General Chairs Jianfeng Zhan (BenchCouncil and Chinese Academy of Sciences) TPC Chairs Wanling Gao (ICT, Chinese Academy of Sciences) Award Committees Lizy Kurian John (The University of Texas at Austin) D. K. Panda (The Ohio State University) Geoffrey Fox (Indiana University) Jianfeng Zhan (BenchCouncil and Chinese Academy of Sciences) Submission Chair Rui Ren (Cyberspace Security Research Institute Co., Ltd.) Publicity Chairs Chen Zheng (Institute of Computing Technology, CAS) Zhen Jia (Amazon) Biwei Xie (ICT, Chinese Academy of Sciences) Technical Program Committee ---------------------------------------- Woongki Baek, UNIST Piotr Luszczek, University of Tennessee Knoxville Khaled Ibrahim, Lawrence Berkeley National Lab Lei Wang, ICT, Chinese Academy of Sciences Vladimir Getov, University of Westminster Gwangsun Kim, POSTECH Hyogi Sim, Oak Ridge National Laboratory Zhen Jia, Amazon Bin Ren, Pacific Northwest National Laboratory Nikhil Jain, Lawrence Livermore National Laboratory Lucas Mello Schnorr, UFRGS Bo Wu, Colorado School of Mines Jungang Xu, College of Computer and Control Engineering,University of Chinese Academy of Sciences Ryan E. Grant, Sandia National Laboratories Huan Liu, Arizona State University Chen Zheng, ICT, Chinese Academy of Sciences Zhihui Du, Tsinghua University Salman Zubair Toor, Uppsala University Arne Berre, SINTEF Todor Ivanov, Frankfurt Big Data Lab, Goethe University Frankfurt Biwei Xie, ICT, Chinese Academy of Sciences Benson Muite, University of Tartu K. Selcuk Candan, Arizona State University Feiyi Wang, Oak Ridge National Laboratory Xiaoyi Lu, The Ohio State University Ben Blamey, Uppsala University Rui Ren, Cyberspace Security Research Institute Co., Ltd. Juby Jose, Intel

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CfP VHPC'20: extension, Zoom Online Event without charge
by Michael Alexander 08 Apr '20

08 Apr '20

==================================================================== CALL FOR PAPERS 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 20) held in conjunction with the International Supercomputing Conference - High Performance, June 21-25, 2020, Frankfurt, Germany. (Springer LNCS Proceedings) ==================================================================== Date: June 25, 2020 Workshop URL: vhpc[dot]org Online Zoom Event https://us02web.zoom.us/webinar/register/WN_vC5pwmgbQ6ypJEfyQ8nHIg Physical Event: ISC, Frankfurt Paper Submission Deadline: May 12th, 2020 (extended) Springer LNCS Call for Papers Containers and virtualization technologies constitute key enabling factors for flexible resource management in modern data centers, and particularly in cloud environments. Cloud providers need to manage complex infrastructures in a seamless fashion to support the highly dynamic and heterogeneous workloads and hosted applications customers deploy. Similarly, HPC environments have been increasingly adopting techniques that enable flexible management of vast computing and networking resources, close to marginal provisioning cost, which is unprecedented in the history of scientific and commercial computing. Most recently, Function as a Service (Faas) and Serverless computing, utilizing lightweight VMs-containers widens the spectrum of applications that can be deployed in a cloud environment, especially in an HPC context. Here, HPC-provided services become accessible to distributed workloads outside of large cluster environments. Various virtualization-containerization technologies contribute to the overall picture in different ways: machine virtualization, with its capability to enable consolidation of multiple underutilized servers with heterogeneous software and operating systems (OSes), and its capability to live-migrate a fully operating virtual machine (VM) with a very short downtime, enables novel and dynamic ways to manage physical servers; OS-level virtualization (i.e., containerization), with its capability to isolate multiple user-space environments and to allow for their coexistence within the same OS kernel, promises to provide many of the advantages of machine virtualization with high levels of responsiveness and performance; lastly, unikernels provide for many virtualization benefits with a minimized OS/library surface. I/O Virtualization in turn allows physical network interfaces to take traffic from multiple VMs or containers; network virtualization, with its capability to create logical network overlays that are independent of the underlying physical topology is furthermore enabling virtualization of HPC infrastructures. Publication Accepted papers will be published in a Springer LNCS proceedings volume. Topics of Interest The VHPC program committee solicits original, high-quality submissions related to virtualization across the entire software stack with a special focus on the intersection of HPC, containers-virtualization and the cloud. Major Topics: - HPC workload orchestration (Kubernetes) - Kubernetes HPC batch - HPC Container Environments Landscape - HW Heterogeneity - Container ecosystem (Docker alternatives) - Networking - Lightweight Virtualization - Unikernels / LibOS - State-of-the-art processor virtualization (RISC-V, EPI) - Containerizing HPC Stacks/Apps/Codes: Climate model containers each major topic encompassing design/architecture, management, performance management, modeling and configuration/tooling. Specifically, we invite papers that deal with the following topics: - HPC orchestration (Kubernetes) - Virtualizing Kubernetes for HPC - Deployment paradigms - Multitenancy - Serverless - Declerative data center integration - Network provisioning - Storage - OCI i.a. images - Isolation/security - HW Accelerators, including GPUs, FPGAs, AI, and others - State-of-practice/art, including transition to cloud - Frameworks, system software - Programming models, runtime systems, and APIs to facilitate cloud adoption - Edge use-cases - Application adaptation, success stories - Kubernetes Batch - Scheduling, job management - Execution paradigm - workflow - Data management - Deployment paradigm - Multi-cluster/scalability - Performance improvement - Workflow / execution paradigm - Podman: end-to-end Docker alternative container environment & use-cases - Creating, Running containers as non-root (rootless) - Running rootless containers with MPI - Container live migration - Running containers in restricted environments without setuid - Networking - Software defined networks and network virtualization - New virtualization NICs/Nitro alike ASICs for the data center? - Kubernetes SDN policy (Calico i.a.) - Kubernetes network provisioning (Flannel i.a.) - Lightweight Virtualization - Micro VMMs (Rust-VMM, Firecracker, solo5) - Xen - Nitro hypervisor (KVM) - RVirt - Cloud Hypervisor - Unikernels / LibOS - HPC Storage in Virtualization - HPC container storage - Cloud-native storage - Hypervisors in storage virtualization - Processor Virtualization - RISC-V hypervisor extensions - RISC-V Hypervisor ports - EPI - Composable HPC microservices - Containerizing Scientific Codes - Building - Deploying - Securing - Storage - Monitoring - Use case for containerizing HPC codes: Climate model containers for portability, reproducibility, traceability, immutability, provenance, data & software preservation The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) aims to bring together researchers and industrial practitioners facing the challenges posed by virtualization in order to foster discussion, collaboration, mutual exchange of knowledge and experience, enabling research to ultimately provide novel solutions for virtualized computing systems of tomorrow. The workshop will be one day in length, composed of 20 min paper presentations, each followed by 10 min discussion sections, plus lightning talks that are limited to 5 minutes. Presentations may be accompanied by interactive demonstrations. Important Dates May 12th, 2020 - Paper submission deadline - extended (Springer LNCS) Apr 26th, 2020 - Acceptance notification June 25th, 2020 - Workshop Day July 10th, 2020 - Camera-ready version due Chair Michael Alexander (chair), BOKU, Vienna, Austria Anastassios Nanos (co-chair), Sunlight.io, UK Program committee Stergios Anastasiadis, University of Ioannina, Greece Paolo Bonzini, Redhat, Italy Jakob Blomer, CERN, Europe Eduardo César, Universidad Autonoma de Barcelona, Spain Taylor Childers, Argonne National Laboratory, USA Stephen Crago, USC ISI, USA Tommaso Cucinotta, St. Anna School of Advanced Studies, Italy François Diakhaté CEA DAM Ile de France, France Kyle Hale, Northwestern University, USA Brian Kocoloski, Washington University, USA Simon Kuenzer, NEC Laboratories Europe, Germany John Lange, University of Pittsburgh, USA Giuseppe Lettieri, University of Pisa, Italy Klaus Ma, Huawei Technologies, China Alberto Madonna, Swiss National Supercomputing Center, Switzerland Nikos Parlavantzas, IRISA, France Anup Patel, Western Digital, USA Kevin Pedretti, Sandia National Laboratories, USA Amer Qouneh, Western New England University, USA Carlos Reaño, Queen’s University Belfast, UK Adrian Reber, Redhat, Germany Riccardo Rocha, CERN, Europe Borja Sotomayor, University of Chicago, USA Jonathan Sparks, Cray, USA Kurt Tutschku, Blekinge Institute of Technology, Sweden John Walters, USC ISI, USA Yasuhiro Watashiba, Osaka University, Japan Chao-Tung Yang, Tunghai University, Taiwan Paper Submission-Publication Papers submitted to the workshop will be reviewed by at least two members of the program committee and external reviewers. Submissions should include abstract, keywords, the e-mail address of the corresponding author, and must not exceed 10 pages, including tables and figures at a main font size no smaller than 11 point. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted papers will be published in a Springer LNCS volume. The format must be according to the Springer LNCS Style. Initial submissions are in PDF; authors of accepted papers will be requested to provide source files. Abstract, Paper Submission Link: edas[dot]info/newPaper.php?c=26973 Lightning Talks Lightning Talks are non-paper track, synoptical in nature and are strictly limited to 5 minutes. They can be used to gain early feedback on ongoing research, for demonstrations, to present research results, early research ideas, perspectives and positions of interest to the community. Submit abstract via the main submission link. General Information The workshop is one day in length and will be held in conjunction with the International Supercomputing Conference - High Performance (ISC) 2019, June 21-25, Frankfurt, Germany.

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IEEE BigData 2020 Call for Workshop Proposal Deadline: April 20, 2020
by CFP Conference 07 Apr '20

07 Apr '20

*IEEE Big Data 2020 Call for Workshop Proposals* 2020 IEEE International Conference on Big Data (IEEE BigData 2020) http://bigdataieee.org/BigData2020/index.html December 10-13, 2020, Atlanta, GA, USA ================================================================= The Program Committees of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020) invite proposals for Workshops. Selected workshops will hold a central position within the larger conference, which will bring together top academic and industrial researchers from all over the world to exchange cutting edge research ideas in Big Data research, development and practice. Within these fields, workshops at Big Data form crucial focal points for emerging communities and forums for the examination of new ideas. Here are a summary of the conferences in the previous years: The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data. 1. The first conference IEEE Big Data 2013 ( http://bigdataieee.org/BigData2013/ regular paper acceptance rate: 17.0%) was held in Santa Clara, CA from Oct 6-9, 2013 with more than 400 registered participants from 40 countries. 2. The IEEE Big Data 2014 (http://bigdataieee.org/BigData2014/, regular paper acceptance rate: 18.5.0%) was held in Washington DC, Oct 27-30, 2014 with more than 600 registered participants from 45 countries. 3. The IEEE Big Data 2015 (http://bigdataieee.org/BigData2015/ , regular paper acceptance rate: 16.8%) was held in Santa Clara, Oct 29-Nov 1, 2015 with more than 780 registered participants from 49 countries. 4. The IEEE Big Data 2016 ( http://bigdataieee.org/BigData2016/ , regular paper acceptance rate: 18.7%) was held in Washington DC, Dec 5-8, 2016 with close to 900 registered participants from 43 countries. 5. The IEEE Big Data 2017 ( http://bigdataieee.org/BigData2017/, regular paper acceptance rate: 17.8%) was held in Boston, MA, Dec 11-14, 2017 with close to 1000 registered participants from 50 countries. 6. The IEEE Big Data 2018 ( http://bigdataieee.org/BigData2018/ , regular paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13, 2018 with close to 1100 registered participants from 47 countries. 7. The IEEE Big Data 2019 ( http://bigdataieee.org/BigData2019/ , regular paper acceptance rate: 18.7%) was held in Los Angeles, CA, Dec 9-12, 2019 with close to 1200 registered participants from 54 countries. The 2020 IEEE International Conference on Big Data (IEEE BigData 2020) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest research in Big Data Research, Development, and Applications. Workshop organizers will be responsible for advertising the workshop, forming the program committees, reviewing and selecting the papers, and guaranteeing a high quality worthy of the prestige and breadth of the Conference. All papers accepted for workshops will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference. The workshop organizers will also have the discretion of editing selected papers (after their expansion and revision) into books or special journal issues. Workshops should cover at least a single session (6 regular papers). The workshop organizers should ensure registration and presence of authors of accepted papers. *Workshop Topics* Each workshop subject will focus on new research challenges and initiatives in Big Data. The workshops should provide an informal and vibrant forum for researchers and industry practitioners to share their research results and practical development experiences in Big Data research, development and practice. Workshop topics may be narrow, e.g., Clouding Computing/Grid Computing/Stream Computing for Big Data; Big Data stream Mining, Big Graph Data Mining, or broad, e.g., Big Data Foundations , Big Data management, Big Data Mining and Searching, Big Data Privacy and Security, Hardware/OS Acceleration for Big Data, Big Data Application, etc (Pls refer to the IEEE Big Data 2020 http://bigdataieee.org/BigData2020/index.html for more possible workshop topics). Prospective workshop organizers are encouraged to contact workshop chairs for feedback. *Important Dates* April 20, 2020 Workshop proposal submission due - submit to: https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=ProW May 1, 2020: Notification to workshop proposers June 1, 2020: Each workshop organizer sends out Call for Workshops Papers *Guidelines for Workshop Proposals* Proposals for 2020 IEEE Big Data Workshops should contain the following components. 1. Workshop Title (e.g., Visualization and Analytics for Big Data) 2. Introduction to workshop (a few sentences about the background, importance, purpose, interests, etc. of workshop) 3. Research topics included in the workshop (list a number of interesting topics or areas covered by workshop) 4. Important dates (These dates are for your reference except the Camera-ready submission date, Please do not change the camera-ready date) *Oct 1, 2020:* Due date for full workshop papers submission *Nov 1, 2020:* Notification of paper acceptance to authors *Nov 15, 2020:* Camera-ready of accepted papers *Dec 10-13 2020:* Workshops 5. Program Chairs or co-chairs: (1-3 experts in the research areas of workshop) 6. Program Committee Members: (at least 5 experts in the research areas) 7. Invited keynote speakers (optional) *Workshop Proposal Submission:* https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=ProW *Workshop Co-Chairs* Prof. Eyhab AI-Masri, University of Washington, USA, ealmasriu(a)gmail.com Prof. Zhiyuan Chen, University of Maryland at Baltimore County, USA, zhchen(a)umbc.edu Prof. Jeff Saltz, Syracuse University, USA, jeffrey.s.saltz(a)gmail.com ######################################################################## To unsubscribe from the BIGDATA list, click the following link: http://lists.drexel.edu/cgi-bin/wa?TICKET=NzM3NTUxIGNvbXB1dGF0aW9uYWwuc2NpZ…

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Call for Papers -International Conference on Machine learning and Cloud Computing (MLCL 2020)
by Rohlupuia Pachuau 06 Apr '20

06 Apr '20

International Conference on Machine learning and Cloud Computing (MLCL 2020)June 20~21, 2020, Dubai, UAEhttps://csita2020.org/mlcl/index.html ScopeInternational Conference on Machine learning and Cloud Computing (MLCL 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Cloud computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.This conference aims to bring together researchers and practitioners in all aspects of machine learning and cloud-centric and outsourced computing, including (but not limited to):Topics of interest include, but are not limited to, the following* Case Studies and Theories in Cloud Computing* Cloud Application, Infrastructure and Platforms* Cloud Applications in Vertical Industries* Cloud Based, Parallel Processing* Cloud Business* Cloud Computing Architecture* Cloud Storage and File Systems* Consolidation* Data storage and Management in Cloud Computing* Design Tool for Cloud Computing* Energy Management and Programming Environments* Location Based Services, Presence, Availability, and Locality* Machine Learning Applications* Machine Learning in knowledge-intensive systems* Machine Learning Methods and analysis* Machine Learning Problems* Machine Learning Trends* Maintenance and Management of Cloud Computing* Mobile Clouds for New Millennium, Mobile Devices* Networks within Cloud systems, the Storage Area, and to the Outside Virtualization in the Context of Cloud Computing* NoSQL Data Stores* Performance, SLA Management and Enforcement* Platforms* Resource Provisioning* Security Techniques for the Cloud* Service-Oriented Architecture in Cloud Computing* Social Clouds (Social Networks in the Cloud)* System Integration, Virtual Compute Clusters* The Open Cloud: Cloud Computing and Open Source* Virtualization on Platforms in the CloudPaper SubmissionAuthors are invited to submit papers through the conference Submission System by April 12, 2020. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Important Dates* Submission Deadline : April 12, 2020* Authors Notification : May 20, 2020* Registration & Camera-Ready Paper Due :May 28, 2020Contact us : Here's where you can reach us : mlcl(a)csita2020.org (or) mlclconf(a)yahoo.com

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CFP: Research Book, Springer publisher. HPC, Scientific Computing, Cloud, cluster, ... (USA); Deadline: April 25
by cs＠american-cse.org 03 Apr '20

03 Apr '20

Dear subscribers of computational.science listserv: We believe that the appended announcement is of interest to the subscribers. Please share with those who would be interested. Thank you. Rob --- CALL FOR PAPERS (Topics: HPC, Scientific Computing, Cloud, ...) Publisher: SPRINGER NATURE ALL ACCEPTED PAPERS WILL BE PUBLISHED BY SPRINGER NATURE in BOOK SERIES: Transactions on Computational Science & Computational Intelligence https://www.springer.com/series/11769 Paper Submission Deadline (EXTENDED): April 25, 2020 All accepted papers will be published by Springer Nature in book series: Transactions on Computational Science & Computational Intelligence. The books will be widely disseminated (to over 1,000 libraries and to 1,000's of individuals). It should be noted that publication of papers in research books would permit each paper to be quite comprehensive (if need be) and so the publication value would be comparable to journal publications; and so would be listed as such in the list of research contribution. Our set of previous published books by Springer received the top 25% downloads in their respective topics with many papers receiving over 100 citations (some received over 700 citations). PDPTA 2020: The 26th International Conference on Parallel & Distributed Processing Techniques & Applications https://americancse.org/events/csce2020/conferences/pdpta20 CSC 2020: The 18th International Conference on Scientific Computing https://americancse.org/events/csce2020/conferences/csc20 MSV 2020: The 17th International Conference on Modeling, Simulation and Visualization Methods https://americancse.org/events/csce2020/conferences/msv20 GCC 2020: The 16th International Conference on Grid, Cloud, and Cluster Computing https://americancse.org/events/csce2020/conferences/gcc20 Co-Located: July 27-30, 2020, Luxor (MGM), Las Vegas, USA In case of hesitation by some authors/speakers to travel during Year 2020 (due to Coronavirus), the CSCE Steering Committee has developed a policy for Non-Attendance. In summary, for Year 2020, the non-attendance by any registered author would not negatively impact the publication of his/her paper. Having said the above, based on a survey conducted recently, we anticipate that all (or the vast majority) of speakers/authors to physically attend the CSCE 2020 Congress in late July. For more information see: the NON-ATTENDANCE POLICY: https://americancse.org/events/csce2020/non_attendance_policy KEYNOTE LECTURES AND TUTORIALS: There will be between 10 and 15 Keynote lectures and Invited Talks; speakers include world-renowned scientists and educators. Featured Keynote Speakers in recent years have included: - Prof. David A. Patterson (pioneer, architecture, UC Berkeley) - Prof. Ian Foster (known as Father of Grid Computing; U. of Chicago & ANL) - Prof. John Koza (known as Father of Genetic Programming; Stanford U.) - Prof. Barry Vercoe (Founding member of MIT Media Lab, MIT) - Dr. K. Eric Drexler (known as Father of Nanotechnology) - Dr. Jose L. Munoz (NSF Program Director and CTO of NSF Office of Cyber-infrastructure) - Prof. Michael J. Flynn (Stanford U.; known for Flynn's taxonomy) - Dr. Firouz Naderi (former Head of NASA Mars Exploration Program; former Administrator and/or Director of Jet Propulsion Lab, CalTech/NASA; NASA's JPL Solar System Exploration - Prof. Ruzena Bajcsy (pioneer, VR, UC Berkeley) - Prof. Viktor K. Prasanna (pioneer, U. of Southern California) - Prof. David Lorge Parnas (pioneer of software engineering) - Prof. Eugene H. Spafford (Executive Director, CERIAS and Professor, Purdue University) - Prof. Haym Hirsh (Dean, Cornell University & former NSF admin) - Prof. H. J. Siegel (Abell Endowed Chair Distinguished Professor of ECE and Professor of CS; Director, CSU Information Science and Technology Center (ISTeC), Colorado State University, Colorado, USA) - Prof. Amit Sheth (LexisNexis Eminent Scholar; Founder/Executive Director, Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis)) - Prof. John H. Holland (known as Father of Genetic Algorithms; U. of Michigan) - Prof. Lotfi A. Zadeh (Father of Fuzzy Logic, UC Berkeley) - Dr. Leonid I. Perlovsky (Harvard University and CEO LP Information Tech) - Dr. James A. Crowder (Chief Engineer, Raytheon Intelligence) - Prof. Diego Galar (Director & Pro-Vice-Chancellor, Lulea University of Technology, Sweden) - and over 200 other distinguished speakers. The Congress is among the top five largest international annual gathering of researchers in computer science, computer engineering and applied computing. We anticipate to have attendees from about 75 countries and territories. To get a feeling about the conferences' atmosphere, see some delegates photos available at (over 2,000 photos): https://photos.ucmss.com/ https://americancse.org/photo-gallery/index-html INTRODUCTION: In order to leverage synergy between various CS & CE fields, the program committees of PDPTA, CSC, MSV, GCC conferences have their 2020 events held at one venue (same location and dates). This joint research event is composed of a number of tracks (joint-conferences, tutorials, sessions, workshops, poster and panel discussions); all will be held simultaneously, same location and dates: July 27-30, 2020. For the complete list of joint conferences, refer to: https://www.americancse.org/events/csce2020 We anticipate having between 1,000 and 2,000 participants in the Congress. The congress includes 20 major tracks ( https://www.americancse.org/events/csce2020 ) composed of: 122 technical, research, and panel sessions as well as a number of keynote lectures and tutorials; all will be held simultaneously, same location and dates: July 27-30, 2020. Last year, the Congress had attracted speakers/authors and participants affiliated with over 158 different universities (including many from the top 50 ranked institutions), major IT corporations (including: Microsoft, Google, Apple, SAP, Facebook, Oracle, Amazon, Yahoo, Samsung, IBM, Ebay, GE, Siemens, Philips, Ericsson, BAE Systems, Hitachi, NTT, Twitter, Uber Technologies, ...), major corporations (including: Exxon Mobil, Johnson & Johnson, JPMorgan Chase, PetroChina, GlaxoSmithKline, HSBC, Airbus, Boeing, Hyundai, Goldman Sachs, Deutsche Bank, ...), government research agencies (NSF, NIH, DoE, US Air Force, NSA National Security Agency, Central Intelligence Agency, ...), US national laboratories (including, NASA National Aeronautics and Space Administration, ANL Argonne National Lab, Sandia National Lab, ORNL Oak Ridge National Lab, Lawrence Berkeley National Lab, Lawrence Livermore National Lab, Los Alamos National Lab, Pacific Northwest National Lab, ...), and a number of Venture Capitalists as well as distinguished speakers discussing Intellectual Property issues. Last year, 54% of attendees were from academia, 25% from industry; 20% from government and funding agencies; and 1% unknown. About half of the attendees were from outside USA; from 69 nations. SUBMISSION OF PAPERS: https://american-cse.org/ Publisher: Springer Nature - Book Series: Transactions on Computational Science & Computational Intelligence Book Title: Advances in Parallel & Distributed Processing, & Applications Indexation: Subject to Springer science indexation which includes: online Springer Link (link.springer.com/) Scopus (www.info.scopus.com) SCI Compendex, EI Compendex (www.ei.org) EMBASE, Web of Science, Inspec, ACM digital library, Google Scholar, EBSCO, and others. Prospective authors are invited to submit their papers by uploading them to the evaluation web site at: https://american-cse.org/ Submissions must be uploaded by the due date (see IMPORTANT DATES) and must be in either MS doc or pdf formats (maximum of 10 pages for Regular Research Papers; maximum of 6 pages for Short Research Papers; and maximum of 3 pages for Extended Abstract/Poster Papers - the number of pages includes all figures, tables, and references). ALL REASONABLE TYPESETTING FORMATS ARE ACCEPTABLE (many authors use Springer's one-column style format for their submissions or IEEE style format: later, the authors of accepted papers will be asked to follow a particular typesetting format to prepare their final papers for publication). Papers must not have been previously published or currently submitted for publication elsewhere. The first page of the paper should include the followings: - Title of the paper - Name, affiliation, postal address, and email address of each author (identify the name of the Contact Author) - Abstract (between 100 and 120 words) - A maximum of 5 topical keywords that would best represent the work described in the paper - Write the type of the submission as "Regular Research Paper", "Short Research Paper", or "Extended Abstract/Poster Paper". - The actual text of the paper can start from the first page (space permitting). Submissions are to be uploaded to the submission/evaluation web site portal at https://american-cse.org/ Type of Submissions/Papers: - Full/Regular Research Papers (maximum of 10 pages): Regular Research Papers should provide detail original research contributions. They must report new research results that represent a contribution to the field; sufficient details and support for the results and conclusions should also be provided. The work presented in regular papers are expected to be at a stage of maturity that with some additional work can be published as journal papers. - Short Research Papers (maximum of 6 pages): Short Research Papers report on ongoing research projects. They should provide overall research methodologies with some results. The work presented in short papers are expected to be at a stage of maturity that with some additional work can be published as regular papers. - Extended Abstract/Poster Papers (maximum of 3 pages): Poster papers report on ongoing research projects that are still in their infancy (i.e., at very early stages). Such papers tend to provide research methodologies without yet concrete results. Each paper will be peer-reviewed by two experts in the field for originality, significance, clarity, impact, and soundness. In cases of contradictory recommendations, a member of the conference program committee would be charged to make the final decision (accept/reject); often, this would involve seeking help from additional referees. Papers whose authors include a member of the conference program committee will be evaluated using the double-blinded review process. (Essay/philosophical papers will not be refereed but may be considered for discussion/panels). IMPORTANT DATES: April 25: 2020: Submission of papers: https://american-cse.org/ - Full/Regular Research Papers (maximum of 10 pages); - Short Research Papers (maximum of 6 pages); - Abstract/Poster Papers (maximum of 3 pages) May 08, 2020: Notification of acceptance (+/- two days) May 22, 2020: Final papers + Copyright + Registration July 27-30, 2020: PDPTA 2020: The 26th International Conference on Parallel & Distributed Processing Techniques and Applications + CSC 2020: The 18th International Conference on Scientific Computing + MSV 2020: The 17th International Conference on Modeling, Simulation & Visualization Methods + GCC 2020: The 16th International Conference on Grid, Cloud, and Cluster Computing https://www.americancse.org/events/csce2020 CONTACT: Questions and inquiries should be sent to: Conference Secretariat: cs(a)american-cse.org

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[Changes to deadline] Graphical Models for Security (GraMSec 2020) - CFP
by Barbara Fila (Kordy) 01 Apr '20

01 Apr '20

GraMSec 2020: The Seventh International Workshop on Graphical Models for Security http://gramsec.uni.lu June 22, 2020 *Online event* Co-located with CSF 2020 *LNCS post-proceedings confirmed* SCOPE The use of graphical security models to represent and analyse the security of systems has gained an increasing research attention over the last two decades. Formal methods and computer security researchers, as well as security professionals from the industry and government, have proposed various graphical security models, metrics, and measurements. Graphical models are used to capture different security facets and address a range of challenges including security assessment, automated defence, secure services composition, security policy validation, and verification. The International Workshop on Graphical Models for Security is an established scientific event dedicated to study and exchange of experiences on graphical security and safety modelling. TOPICS This year, we encourage excellent submissions related, but not restricted, to the following broad headings: 1. Graph representations: mathematical, conceptual, and implemented tools for describing and reasoning about security and safety 2. Logical approaches: formal logical tools for representing and reasoning about graphs and their use as modelling tools in security 3. Machine learning: modelling and reasoning about the role of big data and machine learning in security operations 4. Networks in national security: terrorist networks, counter-terrorism networks; safety in national infrastructure (e.g., utilities and transportation) 5. Risk analysis and management: models and graphical methodologies for security and privacy risk management in business and organisational architectures 6. Social networks: using and reasoning about social graphs, network analysis, network protocols, social mapping, sociometry. 7. Semantics: developing or studying semantic approaches to graph-based models used in security like set theoretic models, categorical models, logical models, etc. 8. Threat modelling: modelling and analysing software systems security, models for DevSecOps, etc. 9. Security requirements: models and tools for describing and analysing requirements on system security and privacy. 10. Visual security: modelling and analytics for security visualisations. 11. Secure systems: safe and secure system design, quantification of security/safety, models for system security/safety evaluation. We welcome a broad range of contributions: from theory to tools and experience reports. Preference will be given to papers likely to stimulate high-quality debate at the Workshop. SUBMISSION GUIDELINES We solicit two types of submissions: - Regular papers (up to 18 pages, excluding the bibliography and well-marked appendices) describing original and unpublished work within the scope of the workshop. - Short papers (up to 10 pages, excluding the bibliography and well-marked appendices) describing original and unpublished work in progress. The reviewers are not required to read the appendices, so the papers should be intelligible without them. All submissions must be prepared using the LNCS style. Each paper will undergo a thorough review process. Submissions should be made using the GraMSec 2020 EasyChair website: https://easychair.org/conferences/?conf=gramsec2020. PUBLICATION As in previous editions, we the post-proceedings will be published in the Lecture Notes in Computer Science (LNCS) series, published by Springer. Proceedings will be published after the workshop, thus permitting the authors to incorporate feedback. VENUE Due to the current coronavirus outbreak, the IEEE CSF Symposium and its associated workshops, including GraMSec, will be held online this year. Details about registration and participation will be soon made available. IMPORTANT DATES Given the situation and the fact that the workshop will be held online, we will keep only one submission deadline. - Paper submissions due: Friday, April 24, 2020 - Notifications: Friday, May 29, 2020 - Workshop: Monday, June 22, 2020 - Camera ready versions due: Friday, August 7, 2020 PROGRAM CHAIRS Harley Eades III, Augusta University, United States of America Olga Gadyatskaya, Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands STEERING COMMITTEE Sushil Jajodia, George Mason University, United States of America Barbara Fila, INSA Rennes, IRISA, France Sjouke Mauw, University of Luxembourg, Luxembourg Christian W. Probst, Unitec, New Zealand Ketil Stølen, SINTEF Digital and University of Oslo, Norway PUBLICITY CHAIR Barbara Fila, INSA Rennes, IRISA, France WEB CHAIR Reynaldo Gil Pons, University of Luxembourg, Luxembourg

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