computational.science March 2020

computational.science@lists.iccsa.org

7 participants
19 discussions

E-courses on Computer vision, Machine Learning, Autonomous Systems, Image/Video Processing/Analysis, Human-Centered Computing
by Computational Science Mailing List 20 Mar '20

20 Mar '20

Dear Colleague/Professor, this message is sent to you, as several Universities switch to tele-education, in reaction to COVID-19 pandemic. As a result of my very long University teaching career, complemented by rich dissemination activities in many European funded R&D projects, we have developed a long list of educational material (100+ 1-hour lecture ppts, more under development) and student assessment tools that allow tele-education of one or more of the following senior undergraduate/MSc/PhD full-semester courses: 1) Computer Vision 2) Machine Learning 3) Autonomous Systems 4) Image Processing and Analysis 5) Video Processing and Analysis 6) Human-Centered Computing 7) Social Media Analysis. As an example, the Computer Vision course lecture list is attached (final lecture list from parts A-E can be configured, depending on University rules/priorities). The lecture list of the rest of the courses can be sent upon request. A multitude of other courses can be devised, matching special education needs of any University. Any of these courses can be delivered upon request in various formats (e.g., intensive e-short course, regular e-course with weekly lectures) using tele-education tools (typically Skype for Business) to any audience that has appropriate background (typically senior undergraduate/MSc/PhD students of ECE/CS/EE departments, or other Science/Engineering departments). Educational material can also be delivered to be used by other Professors, upon request Sample educational material can be sent upon request. A lecture example can be found in: http://icarus.csd.auth.gr/wp-content/uploads/2019/12/Fast-convolution-algor… Sincerely yours I. Pitas 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 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 30500+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas leads the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is chair of the IEEE Autonomaous Systems Initiative https://ieeeasi.signalprocessingsociety.org/ https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en Computer vision lecture list Part A Mathematical foundations of computer vision Mathematical analysis fundamentals Linear algebra fundamentals Geometry fundamentals Part B Image/video acquisition and analysis Introduction to computer vision Digital images and videos Image acquisition Color theory Image/video perception Image registration Edge detection Region segmentation Texture description Image topology 2D shape description and recognition Motion estimation Object detection Object tracking Part C 3D Computer Vision Camera geometry Stereo and Multiview imaging Structure from Motion 3D object Localization and Mapping Semantic 3D world mapping 3D object localization Multiview object detection and tracking Object pose estimation Part D 3D Imaging 3D (volumetric) image processing 3D image geometry and topology 3D image segmentation 3D shape analysis Part E Applications Autonomous systems perception (cars/drones) Human centered computing (face detection, recognition, facial expression recognition, activity recognition) Medical imaging (CT/MRI/X-ray/ultrasonic image/volume analysis, medical image registration)

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CFP: Resilience@Euro-Par 2020 - Papers due May 8
by Computational Science Mailing List 19 Mar '20

19 Mar '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> 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> - 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 8, 2020 - Workshop author notification: June 30, 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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CfPapers: European Dependable Computing Conference - EDCC 2020
by Computational Science Mailing List 19 Mar '20

19 Mar '20

***Submission deadline extension to April 8th (abstract) and April 15th (full paper)*** The 16th European Dependable Computing Conference - EDCC 2020 September 7-10, 2020, Munich, Germany Call for Papers The European Dependable Computing Conference is a leading venue for presenting and discussing the latest research, industrial practice and innovations in dependable and secure computing. The European Dependable Computing Conference is a unique forum for researchers and practitioners to present and discuss their latest research results on theory, techniques, systems, and tools for the design, validation, operation and evaluation of dependable and secure computing systems. The conference will cover a broad range of topics related to dependability and security, which includes, but is not limited to: * Hardware and software architectures of dependable systems; * Model-driven and formal engineering approaches; * Fault-tolerant networks & ultra-reliable low-latency communication; * Dependability modelling and tools; * Verification and validation methods; * Development of safety and security-critical systems; * Dependability and security of o critical infrastructures, e.g. smart energy grids, intelligent transportation systems, smart cities; o cyber-physical systems and (industrial) IoT; o cloud, fog, and edge computing systems; o data analytics applications & systems based on machine learning and artificial intelligence; o databases and distributed ledgers (incl. block chains); o artificial intelligence-based systems and components * Data protection and data privacy The conference is inviting submissions to its different tracks in the following categories: -Regular papers (up to 8 pages) solicited on theory, techniques, systems, and tools for the design, validation, operation and evaluation of dependable and secure computing systems, covering any fault model, from traditional hardware and software faults to accidental and malicious human interactions. -Practical experience reports (up to 6 pages) dedicated to dependability in practice: industrial applications, experience in introducing dependability in industry, use of new or mature dependability approaches to new challenging problems or domains, etc. -Short papers (3-4 pages) describing preliminary research work (position papers) or a prototype/tool description, outlining the design or implementation of a software tool, or the prototyping of an operational system. The papers submitted to the conference should present an original contribution and formatted according to IEEE style: https://www.ieee.org/conferences/publishing/templates.html. All submissions must be made electronically through the EasyChair submission web page, and should clearly indicate in which category the paper is being submitted. Detailed indications about the paper format are provided in the paper submission page: http://edcc.dependability.org/papersubmission.html Best Paper Award Submissions will be judged on originality, significance, correctness and impact. Three distinguished papers will be selected among accepted papers and presented in a dedicated session of the conference program. Full research papers and practical experience reports are eligible for the distinction. Important Dates: Abstract Submission: (March 17, 2020) - new: April 8, 2020 Full Paper Submission: (March 24, 2020) - new: April 15, 2020 Author Notification: (May 25, 2020) - new: June 1, 2020 Camera-ready Paper: June 22, 2020 General chairs: Michael Paulitsch, Intel Mario Trapp, Fraunhofer Program Committee chair: Elena Troubitsyna, KTH Sweden Publicity chair: Alexander Romanovsky, Newcastle University Publication chair: Miguel Pardal, Universidade de Lisboa Students Forum chair: Marcello Cinque, Frederico II University of Naples For more information, visit: http://edcc.dependability.org/

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Computational and Applied Statistics at ICCSA 2020 - special extended deadline
by Computational Science Mailing List 17 Mar '20

17 Mar '20

Dear Colleague, I hope you are well, beyond the hardships that everyone, in every part of the world, is experiencing. Taking into account the exceptional situation that the whole world is going through, the dates related to submission and decision-making on articles submitted to the 7th edition of the Computational and Applied Statistics (CAS2020) (https://cas2020.webnode.com/) workshop have been changed. The new deadline for paper submission is April 26, 2020. *********************************************************************** ****************** APOLOGIES FOR MULTIPLE COPIES RECEIVED *************** *********************************************************************** ********************* CAS 2020 CALL FOR PAPERS ************************** ********************* NEW deadline: April 26, 2020 ******************** Computational and Applied Statistics (CAS 2020<https://cas2020.webnode.com/>) Workshop of the 20th International Conference on Computational Science and Applications (ICCSA 2020, http://www.iccsa.org/) will be held on July 1 - 4, 2020 in Cagliari, Italy. TOPICS ====== The aim of CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences. Topics of interest include (but are not limited to): * Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, etc * Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences. IMPORTANT DATES (NEW) ====================== April 26, 2020: Deadline for abstract and paper submission to the CAS Workshop. May 24, 2020: Notification of Acceptance June 15, 2020: Early-bird Registration ends June 15, 2020: Submission deadline for the final version of the Proceeding Papers July 1-4, 2020: ICCSA 2020 Conference. PROCEEDINGS ============ The proceedings of the CAS 2020 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site: http://www.iccsa.org/instructions-for-authors If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZER =========== * Ana Cristina Braga (acb(a)dps.uminho.pt<mailto:acb@dps.uminho.pt>), Dep. of Production and Systems (University of Minho), Algoritmi Research Centre (University of Minho), Portugal. If you have some doubts or problems, do not hesitate to contact the organizer. Best regards, Ana Cristina Braga (CAS 2020 organizer)

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Call For Papers - IEEE International Conference on High Performance Computing, Data, and Analytics 2020
by Computational Science Mailing List 11 Mar '20

11 Mar '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 PROGRAM VICE-CHAIRS HPC TRACKS Algorithms: Kamesh Madduri, Pennsylvania State University, USA Applications: Yogesh Simmhan, Indian Institute of Science, India 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 Scalable Systems and Software: Suren Byna, Lawrence Berkeley National Laboratory, USA HiPC 2020 Call For Papers 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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CfP for ENGAGE 2020 at CGI 2020 in Geneva, 23rd June 2020
by Computational Science Mailing List 05 Mar '20

05 Mar '20

*“EMPOWERING NOVEL GEOMETRIC ALGEBRA FOR GRAPHICS & ENGINEERING WORKSHOP”* *Call for papers *http://www.cgs-network.org/cgi20/?page_id=1817* * Since ACM SIGGRAPH2001 and 2003 conferences, there has been limited attention on the benefits of employing W. K. Clifford’s geometric algebras (GA), quaternions and octonions in solving computer graphics and vision problems. In the meantime, the geometric algebra community focused on GA applications and greatly advanced it as an adequate and viable computing technology. The Workshops at CGI’2016 on “Geometric Algebra in Computer Science and Engineering” and at CGI’2017, 2018, 2019 on “Empowering Novel Geometric Algebra for Graphics & Engineering” began to bridge that gap. Under the auspices of *CGI’20 (22-25 June), ENGAGE (Empowering Novel Geometric Algebra for Graphics & Engineering) on June 23rd in Geneva, Switzerland*, will again engage in a multi-disciplinary approach from mathematics, applied to computer graphics, computer vision and general computer science fields where GA has strong potential to answer existing mathematical problems. GA is in a particularly well suited to allow cross-disciplinary solutions in software engineering as it provides an intuitive and insightful common denominator across mathematical disciplines that have often advanced application specific. Understanding GA enables us to relate distinct, seemingly incompatible paths by providing a common mathematical base. We invite original contributors in the form of full and short papers, which advance the state-of-the-art of the application of geometric algebra as well as of its computing technology in topics related, *topics related, but not limited to:* * Feature Detection & Data Analysis * LIDAR and Point Cloud Algorithms * Scientific & Information Visualization * Computer graphics rendering * Computer animation and video processing * Holographic optics & Holographic maps * Geographic Information Systems * Soundscape & Electromagnetic landscape Modelling * Augmented and Virtual Reality * Application of Clifford Fourier transforms and Clifford wavelets to 2D and 3D images, including color images * Higher dimensional geometric algebras * GA Computing and Quantum Computing * GA hardware implementations * GA for Artificial Intelligence * GA for ubiquitous information processing * GA for Big Data processing & visualization * Other engineering/applied science applications using GA, like robotics applications, graph computing etc. Authors should submit short and full papers directly to the CGI conference LNCS proceedings, by April 7th deadline. All authors of accepted ENGAGE related papers will be invited either to an oral or poster presentation. For Springer LNCS CGI proceedings author instructions please refer to http://www.cgs-network.org/cgi20/?page_id=1359. Post workshop extended and more advanced ENGAGE papers (15 pages plus) can be published in the topical collection “Geometric Algebra for Computing, Graphics and Engineering” of the Journal Advances in Applied Clifford Algebras (AACA), published by Birkhauser, and should have been orally presented at the conference. See the “Instruction for Authors” at AACA. Online paper submission at https://www.editorialmanager.com/aaca/Default.aspx has deadline of October 31, 2020. At the time of submission, authors must indicate the topical collection “ENGAGE 2020-Geometric Algebra for Computing, Graphics and Engineering”. *IMPORTANT DATES* *All participants:* Abstract submission (ca. 200 words): March 31, 2020 to hitzer(a)icu.ac.jp <mailto:hitzer@icu.ac.jp> *Full and Short ENGAGE Papers:* (to appear in Springer LNCS proceedings, full 8-12 pages and short 5-7 pages) * Paper submission: April 7, 2020 * Paper notification: April 25, 2020 * Camera ready papers due: May 01, 2020 *Full AACA Papers:* (15 pages+, Latex using birkjour.cls) * Paper submission: October 31, 2020 For *further information*, please contact one of the ENGAGE Workshop organizers: * Andreas Aristidou (Cyprus) * Werner Benger♯ (w.benger(a)ahm.co.at <mailto:w.benger@ahm.co.at>) (Innsbruck) * Dietmar Hildenbrand♯ (dietmar.hildenbrand(a)gmail.com <mailto:dietmar.hildenbrand@gmail.com>) (Darmstadt) * Eckhard Hitzer♯ (hitzer(a)icu.ac.jp <mailto:hitzer@icu.ac.jp>) (Tokyo) * Joan Lasenby (Cambridge) * Kit Ian Kou (Macao) * Vincent Nozick (Paris) * George Papagiannakis♯ (papagian(a)ics.forth.gr <mailto:papagian@ics.forth.gr>) (Crete) * G. Stacey Staples (Edwardsville) * Kanta Tachibana (Tokyo) * Lars Tingelstad (Trondheim) * Peter Vasik (Brno) * Yu Zhaoyuan (Nanjing) (♯ = local workshop organizers) -- The Top Ten Scientific Problems with Biological and Chemical Evolution http://www.discovery.org/a/24041/ Male and female he created them (... question of gender theory in education): http://www.educatio.va/content/dam/cec/Documenti/19_0997_INGLESE.pdf *-----------------------------------------------------------------* Eckhard Hitzer, Dr. rer. nat. of Theoretical Physics, International Christian University Osawa 3-10-2, Mitaka-shi 181-8585 Tokyo, Japan Tel: +81-(0)422-33-3724, Email: hitzer(a)icu.ac.jp SUDem2020 (22.02.2020): https://sudworkshops.wordpress.com/ Japanese Bible: https://www.bible.com/ja/bible/83/mat.1.jlb

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WHPC@ISC'20 Call for posters- Deadline extended
by fouzhan.hosseini＠nag.co.uk 05 Mar '20

05 Mar '20

Call for early/mid career posters on HPC topics for the 12th International Women in HPC Workshop ================================================================= 12th International Women in HPC workshop Thursday June 25th 2020 — Frankfurt, Germany Call for posters and participation https://womeninhpc.org/events/isc-2020/workshop ================================================================= The twelfth international Women in HPC workshop will discuss methods to improve diversity and provide early career women with the opportunity to develop their professional skills and profile. The workshop will include: * Being part of the solution: instructions for advocates and allies * Putting in place a framework to help women take grow their careers * Explore pathways to leadership positions * Posters and lightning talks by women working in HPC * Short talks on topics including: dealing with sponsorship versus mentorship, the case for reverse mentorship to achieve diversity, addressing toxic behaviour at work, career advancement strategies, and 3 minute networking solution. Call for posters: Open to All! /*Deadline for submissions: Extended to*//**//*16th March 2020 AOE*/ As part of the workshop, we invite submissions from women in industry and academia to present their work as a poster. Submissions are invited on all topics relating to HPC from users and developers. All abstracts should emphasize the computational aspects of the work, such as the facilities used, the challenges that HPC can help address and any remaining challenges etc. */Exclusive to WHPC at ISC20: Successful authors will have the opportunity to present their posters in the main ISC20 conference poster session./* For full details please see: https://womeninhpc.org/events/isc-2020/workshop *Workshop Organising Committee* - Workshop Chair: Mozhgan Kabiri Chimeh (NVIDIA, UK) - Co-chair: Fouzhan Hosseini (Numerical Algorithms Group, UK) - Vice-chair: Elsa Gonsiorowski (Lawrence Livermore National Laboratory, USA) - Submissions Chair: Weronika Filinger (EPCC, University of Edinburgh, UK) - Submissions Co-Chair: Vitalina Morais (Mozambique Research and Education Network, Africa) - Mentoring Chair: Aiman Shaikh (Science and Technology Facilities Council, UK) - Invited Talks Chair: Rosa Filgueira (EPCC, University of Edinburgh, UK) - Publicity Chair: Cristin Merritt (Alces Flight, UK) - Website Chair: Caitlin Ross (Kitware, USA) /Dr Fouzhan Hosseini/ *HPC Application Analyst * *Tel:**+44 (0)161 250 3876* * * ** *Numerical Algorithms Group <https://www.nag.com>** * */Experts in numerical software and high performance computing services/* Disclaimer The Numerical Algorithms Group Ltd is a company registered in England and Wales with company number 1249803. The registered office is: Wilkinson House, Jordan Hill Road, Oxford OX2 8DR, United Kingdom. This e-mail has been scanned for all viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business.

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[PSD 2020] PRIVACY IN STATISTICAL DATABASES, Springer LNCS, Arezzo, Italy, Sep. 23-25, 2020
by Joaquin Garcia-Alfaro 04 Mar '20

04 Mar '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** 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 VHPC'20: HPC Containers-Kubernetes
by Michael Alexander 02 Mar '20

02 Mar '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: https://vhpc.org Rolling Abstract Registration (extended) Paper Submission Deadline: Apr 05th, 2020 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 - Performance, efficiency, utilization, security - Build procedure, application porting, re-use of existing components, and tooling - Monitoring, running, orchestrating, live cycle management - Deployment and operational costs - Architecture and platform ports, for instance - hypervisors, lightweight VMMs, bare-metal - Hardware virtualization and accelerators with Unikernels/LibOSes - Use cases and experiences, for instance: - edge services (e.g., vNFs, AI, IoT) - microservices - Stub and driver domains (disaggregation) - bare-metal (e.g., HPC) - 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 Apr 5th, 2020 - Paper submission deadline (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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computational.science March 2020