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Last Call for Early Registration: Summer School "CVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024", 27-29 August 2024, Thessaloniki, Greece
by Efi 11 Jul '24

11 Jul '24

Dear AI/CS/ECE student/scientist/engineer/enthusiast, the Artificial Intelligence and Information Analysis (AIIA <https://aiia.csd.auth.gr/>) Lab of Aristotle University of Thessaloniki (AUTH) in cooperation with (TEMA) <https://tema-project.eu/>R&D project, the International AI Doctoral Academy (AIDA <https://www.i-aida.org/>), is excited to invite you to register and attend the upcoming “CVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024 <https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-de…>” which will take place in Thessaloniki, Greece from August 27th to 29th 2024. This Summer School offers a three-day short course that delivers an in-depth exploration of programming tools and techniques for addressing a variety of computer vision and deep learning challenges. The course focuses on the fundamentals of deep learning and its applications in Natural Disaster Management. Here's a glimpse of what the course entails: - Deep neural networks – Convolutional NNs - 2D Object Tracking in Embedded Systems - Real Time Object Detection. - Real-Time Image Segmentation. - Natural Language Processing. - Explainability in Computer Vision applications. Additionally, hands-on programming workshops will be conducted on each topic, providing participants with practical experience and skills enhancement. *Details* *Host Institution*: *Aristotle University of Thessaloniki* *27, 28, 29 August 2024, 08:30 - 16:30 EEST (UTC + 3 hours)* *On-site Participation: **KEDEA* <https://www.google.com/maps?ll=40.626813,22.962576&z=16&t=m&hl=en&gl=GR&map…>* Building, AUTH, Thessaloniki, Greece* *General Registration* Early registration <https://rc.auth.gr/product-list/single-product/138> (till 15/07/2024) Students/Scientists, Engineers from other scientific disciplines having the necessary mathematical background are also welcomed to register. *Special Registration for AIDA Students** On top of the above registration, also enroll on this course using the “ENROLL ON THIS COURSE” button on the AIDA course page <https://www.i-aida.org/course/cvml-programming-short-course-and-workshop-on…>, so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the program. *AIDA Students are PhD students/candidates or Postdoc researchers belonging to any AIDA member <https://www.i-aida.org/about/members/>. Upon successful completion of the course, participants will receive a *certificate of attendance* issued by Aristotle University of Thessaloniki. *For more details, please visit*: https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-de… This summer school is technically sponsored by TEMA <https://tema-project.eu/>, AI.BIG Cluster <https://tema-project.eu/projects-cluster>, AIDA <https://www.i-aida.org/>, AI4Media <https://www.ai4media.eu/> R&D projects. School Organizer: Prof. Ioannis Pitas Chair of the International AI Doctoral Academy (AIDA), Director of the Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece [image: image001.jpg]

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CFP: ROCS Workshop: 1st RecOnfigurable Computing and Systems Workshop at HiPC 2024
by HiPC 2024 Publicity Chairs 10 Jul '24

10 Jul '24

ROCS Workshop: 1st RecOnfigurable Computing and Systems Workshop 2024 Dec 18, 2024 Bengaluru, India In conjunction with the 31st IEEE International Conference on High-Performance Computing, Data, & Analytics (HiPC 2024) Call for Papers: Reconfigurable computing involves using hardware that can be dynamically reprogrammed to optimize performance for specific tasks. Heterogeneous computing combines different types of compute elements to handle diverse workloads efficiently. Field-Programmable Gate Arrays (FPGAs) are mainly used for reconfigurable computing, and are crucial for high-performance computing applications and accelerating machine learning (ML) applications. The Reconfigurable Computing and Systems Workshop (ROCS) is the first edition running in conjunction with HIPC, aimed at attracting participants to discuss aspects of reconfigurable and heterogeneous computing systems. The broad topics of interest include FPGA-based accelerators, programming methodologies, heterogeneous computing, applications such as ML acceleration, embedded systems, IoT devices, telecommunications, data center accelerators, software programmability, tool support and related areas. Important Dates: * Paper submission deadline: Sep 20, 2024 * Author notification: Oct 20, 2024 * Camera-ready submission: Nov 1, 2024 Length of submission: Submitted manuscripts can be full papers or short papers. * Full papers may not exceed six (6) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style) plus one extra page for references. * Short papers may not exceed four (4) plus one extra page for references in the same format. Single blind policy: All submitted manuscripts will be reviewed by the Program Committee under a single-blind review process, so the submitted paper should NOT list any authors or their affiliations. Submission link: Submit your paper at: https://ssl.linklings.net/conferences/HiPC/ Questions may be sent to nanditha.rao(a)iiitb.ac.in ============================================== Unsubscribe computational.science(a)lists.iccsa.org from this list: https://hipc.us14.list-manage.com/unsubscribe?u=29dc8951f64eba10697825402&i…

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International Conference on Artificial Intelligence Revolutions (AIR 2024) - Roanne, France, October 30-31, 2024
by Abagana Mahamat Oumar 02 Jul '24

02 Jul '24

Call for papers We would like to remind you that the final submission date is extended to 10 July 2024 Apologies for Cross-posting ************************************************* International Conference on Artificial Intelligence Revolutions (AIR 2024) Roanne, France, October 30-31, 2024 https://confscience.com/air/ All papers accepted in AIR 2024 will be submitted for inclusion into IEEE Xplore, IEEE Computer Society Digital Library, Scopus, EI’s Engineering Information Index, Compendex, ISI Thomson’s Scientific, ISTP/ISI Proceedings, etc. *************************************************************************** IMPORTANT DATES: - Paper Submission: June 10, 2024 10 July 2024 (extended) - Acceptance Notification: September 1, 2024 - Final Manuscript Due: October 1, 2024 *************************************************************************** The AIR 2024 conference will be held in Conjunction with: The International Conference on Borderless Artificial Intelligence and Quantum Computing (BAIQC 2024) The International Conference on Intelligence, Sustainability, and Innovation in Healthcare (ISIH 2024) *************************************************************************** TOPICS: Authors are invited to submit their original papers to address the topics of the conference, including but not limited to: Track 1: Fundamental and Theories - Theoretical Advances in AI Algorithms - Machine Learning - Neural Networks and Deep Learning - Multi-Agent Systems - Statistical Learning and Probability in AI - Natural Language Processing (NLP) Theories - Symbolic AI and Knowledge Representation - Explainable AI (XAI) - Generative AI - Cognitive Architectures - Reinforcement Learning Theories - Protocols and Communication - Collaborative Environments - Multi-user and Distributed Systems - AI and Digital Transformation - Computer Vision - Simulation and Virtual Environments - AI in Design Thinking and Creativity - AI-driven Innovation Models Track 2: AI and Sustainability - Circular Economy and AI - Eco-friendly AI Hardware Design - Green Computing: Sustainable Data Centers - Biodiversity Monitoring with AI - AI for Clean Energy Grids - Sustainable Transportation Solutions - Water Resource Management with AI - Renewable Energy Forecasting with AI - Carbon Footprint Reduction Strategies - Smart Buildings and Energy Efficiency - Waste Sorting and Recycling Automation - Sustainable Manufacturing with AI - Eco-conscious Consumer Behavior Analysis - Climate Data Analytics - Natural Disaster Preparedness and Response - Ocean Conservation with AI - Urban Green Spaces Planning - AI-driven Pollution Monitoring - Sustainable Tourism with AI - E-waste Recycling Innovation - AI and energy Track 3: AI Transformative Applications - Algorithmic Trading and Market Predictions - AI for Financial Inclusion - AI for marine applications - AI in Public Health Management - Predictive Analytics in Epidemiology - Smart Infrastructure in Urban Development - Precision Agriculture and AI - AI-based Disaster Response and Recovery - AI-driven Climate Resilient Infrastructure - Smart Traffic Management with AI - Blockchain in Agriculture Supply Chains - AI for Earthquake Prediction - Smart Grids and AI for Energy Distribution - Autonomous Vehicles Track 4: AI for Drones and UAS - Sustainable Drone Fleet Management - AI-powered Urban Air Mobility Solutions - Innovative Air Traffic Flow Optimization - AI-driven Weather Resilience in Air Traffic - Eco-conscious Drone Traffic Control - Sustainable Communication Networks - AI Drone-based Surveillance - Ethical AI in Emergency Response for Drones - AI for Precision Agriculture Sustainability - Human-Drone Collaboration - Sustainable AI-enhanced Search and Rescue - Sustainable Drone Operations - Responsible Innovation for Air Traffic Safety - AI-driven Noise Reduction - Autonomous Space Probes Track 5: AI and Education - AI and student innovation - Adaptive Learning Platforms - Personalized Tutoring with AI - Smart Classrooms and AI Integration - Automated Grading and Assessment - Virtual Reality (VR) and AI in Education - AI for Learning Disabilities - Gamification and AI - Predictive Analytics in Education - Ethical Considerations in AI Education - AI-Enhanced Content Creation - Chatbots and Virtual Assistants for Students - AI for Early Childhood Education - Language Learning with AI - AI and Educational Research Measuring - Educational Outcomes with AI - Education Accessibility with AI - Responsible AI Education and Training Track 6: Responsible AI - Fairness and Bias Mitigation in AI Algorithms - Responsible AI Governance and Regulation - Privacy-preserving AI Technologies - Ethical Considerations in AI Decision-making - Trustworthy AI: Building User Confidence - AI for Social Justice and Inclusion - Combating AI-generated Misinformation - AI-driven Cybersecurity Threat Intelligence - Secure AI Deployment - AI Accountability and Liability - Human Rights and AI - Algorithmic Transparency and Accountability - AI in Law and Legal Ethics - Bias Detection and Mitigation Tools - Cross-cultural Ethics in AI - Digital Ethics in Virtual Environments - Algorithmic Accountability in Criminal Justice - Responsible Data Management in AI *************************************************************************** OUTSTANDING PAPERS: Based on the peer review scores as well as the presentations at the conference, the authors of outstanding papers will be invited to extend their works for a potential publication in journals special issues with high impact factors. *************************************************************************** PAPER SUBMISSION: Papers must be submitted electronically as PDF files via easychair (https://easychair.org/my/conference?conf=air2024) All papers will be peer reviewed. Length of Full papers: 6-8 pages long (written in the IEEE 2-column conference style) For more information, please refer to the conference website: https://confscience.com/air/ *************************************************************************** CONTACT For more information, please send an email to (ahmed.nait(a)univ-st-etienne.fr) and (nafaa.jabeur(a)gutech.edu.om)

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International Conference on Artificial Intelligence and Quantum Computing (BAIQC 2024), Roanne, France, October 30-31, 2024
by Abagana Mahamat Oumar 27 Jun '24

27 Jun '24

Call for papers We would like to remind you that the final submission date is extended to 10 July 2024 Apologies for Cross-posting ************************************************* International Conference on Borderless Artificial Intelligence and Quantum Computing (BAIQC 2024) Roanne, France, October 30-31, 2024 https://confscience.com/baiqc/ All papers accepted in BAIQC 2024 will be submitted for inclusion into IEEE Xplore, IEEE Computer Society Digital Library, Scopus, EI’s Engineering Information Index, Compendex, ISI Thomson’s Scientific, ISTP/ISI Proceedings, etc. *************************************************************************** IMPORTANT DATES: - Paper Submission: June 10, 2024 10 July 2024 (extended) - Acceptance Notification: September 1, 2024 - Final Manuscript Due: October 1, 2024 *************************************************************************** The BAIQC 2024 conference will be held in Conjunction with: The International Conference on Artificial Intelligence Revolutions (AIR 2024) The International Conference on Intelligence, Sustainability, and Innovation in Healthcare (ISIH 2024) *************************************************************************** TOPICS: Authors are invited to submit their original papers to address the topics of the conference, including but not limited to: Track 1: Foundations and Theories - Quantum Computing architecture - Quantum Mechanics Fundamentals for Computing - Quantum Gates and Circuits - Quantum Algorithms - Quantum Error Correction - Quantum Hardware Architectures - Quantum Software Development - Quantum Complexity Theory - Quantum Speedup and Limitations - Quantum Entanglement and Superposition - Quantum Annealing - Quantum Cryptography Basics - Quantum Information Processing - Quantum Compilation Techniques - Quantum languages - QC Simulation Track 2: Integration of AI and QC - Machine Learning Applications in QC - Data Analytics for Quantum Information Processing - Hybrid Quantum-Classical Algorithms - Quantum-enhanced Machine Learning Models - Quantum Data Preprocessing - QC for Big Data Analytics - Quantum-inspired Classical Algorithms - Quantum Machine Learning - Quantum-enhanced Optimization - Quantum Simulation in AI Research - Quantum Machine Learning Interpretability - Quantum-enhanced Data Clustering - Quantum Data Privacy and Security - Quantum-enhanced Feature Selection - Quantum Reinforcement Learning - QC and NLP Track 3: Quantum Information Science - Quantum Information Theory - AI-Enhanced Quantum Communication Protocols - Quantum Key Distribution - Quantum Teleportation and Data Analytics - Quantum Networking - Enhancing Precision with Data-Driven Techniques - Quantum Sensing Techniques - Quantum State Tomography - Quantum Channel Capacity Optimization - Quantum Error Correction - Quantum Data-Driven Approaches - AI algorithms for Quantum Information Retrieval - Quantum Internet - Data-driven Self-regulating Systems Track 4: Quantum Security - Post-Quantum Cryptography - Quantum-resistant Algorithms - Quantum-safe Communication Infrastructures - Secure Quantum Key Exchange - Quantum-resistant Hash Functions - Quantum-resistant Signature Schemes - Quantum Cybersecurity Threats - Quantum-Secure Cloud Computing - Quantum-resistant Blockchain Technologies - Secure Quantum Communication Networks - Quantum-resistant Authentication - Quantum-resistant Access Control - Quantum Security Standards - Quantum-resistant Digital Signatures - Quantum-resistant Public-Key Cryptography Track 5: Applications and Technologies - Quantum-enhanced Sensing Technologies - QC for Chemistry and Material Science - QC in Finance - QC in Healthcare - Quantum-enhanced Imaging Technologies - Quantum-enhanced AI Applications - Quantum Robotics and Automation - Quantum-enhanced Supply Chain Optimization - QC in Energy - Quantum applications for Environmental Science - QC in Space Exploration - Quantum-enhanced Weather Prediction - QC for Traffic Optimization - QC for Smart Cities - Quantum-enhanced Satellite Communication - Quantum-enhanced Cyber-Physical Systems *************************************************************************** OUTSTANDING PAPERS: Based on the peer review scores as well as the presentations at the conference, the authors of outstanding papers will be invited to extend their works for a potential publication in journals special issues with high impact factors. *************************************************************************** PAPER SUBMISSION: Papers must be submitted electronically as PDF files via easychair (https://easychair.org/my/conference?conf=baiqc2024) All papers will be peer reviewed. Length of Full papers: 6-8 pages long (written in the IEEE 2-column conference style) For more information, please refer to the conference website: https://confscience.com/baiqc/ *************************************************************************** CONTACT For more information, please send an email to (ahmed.nait(a)univ-st-etienne.fr) and (nafaa.jabeur(a)gutech.edu.om)

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CfP-PDCAT 2024, Dec 13-15, Hong Kong, China
by Yingpeng Sang 25 Jun '24

25 Jun '24

Dear Esteemed Scholar, It is our great honor to inform you that the 25th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) will take place in Hong Kong, China, during December 13-15, 2024. It will be a great opportunity to share your excellent research work with esteemed colleagues from all over the world. PDCAT serves as a primary platform for scientists, engineers, and practitioners globally to present the most recent research findings, outcomes, concepts, advancements, and applications in all facets of parallel and distributed computing, including parallel architectures, algorithms, and programming techniques. Over its 24-year history, PDCAT has been successfully convened in many countries spanning Asia-Oceania, including China, Japan, Korea, Singapore, Australia, and New Zealand. We earnestly wish participants to gain insights into foundational theories, practical experimental data, emerging business models, and the most recent academic trends from this conference. Publication The conference proceedings will be published by Springer-Verlag in the Lecture Notes in Computer Science series, indexed by EI, Scopus, CPCI, etc. Extended versions of selected papers will be recommended to special issues of some SCI-indexed international journals, tentatively including Tsinghua Science and Technology, Computer and Electrical Engineering, Computer Science and Information Systems, Journal of Computer and System Sciences, Concurrency and Computation: Practice and Experience, etc. Topics We are inviting new and unpublished papers on, but not limited to, the following topics: Networking and Architectures. Wireless networks and mobile computing Internet of Things Software Systems and Technologies. Task mapping and job scheduling Formal methods and programming languages Algorithms and Applications. Parallel/distributed algorithms Distributed data and knowledge-based systems Security and Privacy. Access control and authorization Authentication, biometrics, smartcards High Performance Systems. Memory hierarchy and caching Performance tuning, optimization and profiling Big Data Management and Processing. Mass data stream processing in clouds Graphs, social networks, and semantic web Submission The submission should contain scholarly exposition of ideas, techniques, and results, including the motivation and a clear comparison with related work. The length of the submission should not exceed 12 pages in LNCS style (including references, but excluding the optional appendix). Please submit your paper via the EquinOCS system: https://equinocs.springernature.com/service/pdcat2024 Springer's LNCS LaTeX templates are available in OverLeaf: https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer… For the complete author guideline, please access Springer's official site: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… Important Dates Paper submission: September 15, 2024. Notification acceptance: November 1, 2024. Camera-ready and Registration: November 15, 2024. Conference date: December 13-15, 2024. Please check the PDCAT' 2024 web site for more details. https://hpcc.siat.ac.cn/meeting/pdcat2024/index.html Kind Regards. PDCAT Organizing Committee

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[Deadline Extended] HiPC 2024 CALL FOR PAPERS
by HiPC 2024 Publicity Chairs 19 Jun '24

19 Jun '24

!!! DEADLINE EXTENDED !!! HiPC 2024 CALL FOR PAPERS 31st IEEE International Conference on High Performance Computing, Data, and Analytics 18–21 December 2024 in Bangalore, India Now accepting papers till July 3, 2024 (AOE)! Important Dates: Abstract Submission: June 26, 2024 (AOE) Paper Submission (double-blind): July 3, 2024 (AOE) Reviews to Authors: August 22, 2024 (Thursday) Rebuttal Period: August 22-27, 2024 (Thursday to Tuesday) Author Notification: September 13, 2024 (Friday) Shepherded Paper Submission: September 27, 2024 (Friday) Final Author Notification: October 5, 2024 (Friday) Submit your paper: https://ssl.linklings.net/conferences/HiPC/ Questions may be sent to pc2024(a)hipc.org HiPC 2024 is the 31 edition of the IEEE International Conference on High Performance Computing, Data, and Analytics. 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. HiPC 2024 will also explore programs that expand and enrich the conference offerings, including workshops, tutorials, Birds-of-a-Feather meetings, Student Research Symposium, and industrial sessions, which provide increased professional opportunities to conference attendees. 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. Each submission should be submitted to one of the six tracks listed under the two broad themes of High Performance Computing and Data Science. Please see https://www.hipc.org/papers/ for more details. Up to two best paper awards will be given to outstanding contributed papers. Authors of selected high quality papers in HiPC 2024 will be invited to submit extended versions of their papers for possible publication in a special issue of the Journal of Parallel and Distributed Computing (JPDC). GENERAL CO-CHAIRS: Sanmukh Rao Kuppannagari, Case Western Reserve University, USA Arnab K. Paul, Birla Institute of Technology and Science Pilani, Goa Campus, India PROGRAM CO-CHAIRS: HPC: Devesh Tiwari, Northeastern University, USA Data Science: Preeti Malakar, Indian Institute of Technology Kanpur, India STEERING COMMITTEE CHAIR: Viktor K. Prasanna, University of Southern California, USA ============================================================ This email was sent to computational.science(a)lists.iccsa.org (mailto:computational.science@lists.iccsa.org) why did I get this? (https://hipc.us14.list-manage.com/about?u=29dc8951f64eba10697825402&id=40e3…) unsubscribe from this list (https://hipc.us14.list-manage.com/unsubscribe?u=29dc8951f64eba10697825402&i…) update subscription preferences (https://hipc.us14.list-manage.com/profile?u=29dc8951f64eba10697825402&id=40…) HiPC . Marathahalli . Bangalore, Karnataka 560037 . India

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Call for Papers PAW-ATM 2024: Parallel Applications Workshop, Alternatives To MPI+X
by Morris Wright, Karla Vanessa 18 Jun '24

18 Jun '24

**************************************************************** Call for Papers PAW-ATM 2024: Parallel Applications Workshop, Alternatives To MPI+X Held in conjunction with SC24, Atlanta, GA Submissions deadline: July 24, 2024 Notification to authors: August 30, 2024 Workshop date: November 17, 2024 https://sourceryinstitute.github.io/PAW/ **************************************************************** SUMMARY As supercomputers become more and more powerful, the number and diversity of applications that can be tackled with these machines grows. Unfortunately, the architectural complexity of these supercomputers grows as well, with heterogeneous processors, multiple levels of memory hierarchy, and many ways to move data and synchronize between processors. The MPI+X programming model, use of which is considered by many to be standard practice, demands that a programmer be expert in both the application domain and the low-level details of the architecture(s) on which that application will be deployed, and the availability of such superhuman programmers is a critical bottleneck. Things become more complicated when evolution and change in the underlying architecture translates into significant re-engineering of the MPI+X code to maintain performance. Numerous alternatives to the MPI+X model exist, and by raising the level of abstraction on the application domain and/or the target architecture, they offer the ability for "mere mortal" programmers to take advantage of the supercomputing resources that are available to advance science and tackle urgent real-world problems. However, compared to the MPI+X approach, these alternatives generally lack two things. First, they aren't as well known as MPI+X and a domain scientist may simply not be aware of models that are a good fit to their domain. Second, they are less mature than MPI+X and likely have more functionality or performance "potholes" that need only be identified to be addressed. PAW-ATM is a forum for discussing HPC applications written in alternatives to MPI+X. Its goal is to bring together application experts and proponents of high-level languages to present concrete example uses of such alternatives, describing their benefits and challenges. SCOPE AND AIMS The PAW-ATM workshop is designed to be a forum for discussion of supercomputing-scale parallel applications and their implementation in programming models outside of the dominant MPI+X paradigm. Papers and talks will explore the benefits (or perhaps drawbacks) of implementing specific applications with alternatives to MPI+X, whether those benefits are in performance, scalability, productivity, or some other metric important to that application domain. Presenters are encouraged to generalize the experience with their application to other domains in science and engineering and to bring up specific areas of improvement for the model(s) used in the implementation. In doing so, our hope is to create a setting in which application authors, language designers, and architects can present and discuss the state of the art in alternative scalable programming models, while also wrestling with how to increase their effectiveness and adoption. Beyond well-established HPC scientific simulations, we also encourage submissions exploring artificial intelligence, big data analytics, machine learning, and other emerging application areas. Topics of interest include, but are not limited to: * Novel application development using high-level parallel programming languages and frameworks * Examples that demonstrate performance, compiler optimization, error checking, and reduced software complexity * Applications from artificial intelligence, data analytics, bioinformatics, and other novel areas * Performance evaluation of applications developed using alternatives to MPI+X and comparisons to standard programming models * Novel algorithms enabled by high-level parallel abstractions * Experience with the use of new compilers and runtime environments * Libraries using or supporting alternatives to MPI+X * Benefits of hardware abstraction and data locality on algorithm implementation Papers that include description of applications that demonstrate the use of alternative programming models will be given higher priority. SUBMISSIONS Submissions are solicited in two tracks: 1) Full-length papers presenting novel research results: * Full-length papers will be published in the workshop proceedings. Submitted papers must describe original work that has not appeared in, nor is under consideration for another conference or journal. Papers shall be eight (8) pages minimum and not exceed ten (10) pages including text, figures, and non-AD appendices, but excluding bibliography and acknowledgments. PAW-ATM follows the reproducibility initiative of SC24. Submissions shall include an Artifact Description (AD) appendix. The appendix pages related to the reproducibility initiative dependencies are not included in the page count. See https://sourceryinstitute.github.io/PAW/ for further details. 2) User experience abstracts: * Abstracts will be evaluated separately and will not be included in the published proceedings. Submissions in this track will include a title and a 1-page abstract and the content may include any combination of novel and/or previously published work that is relevant to the workshop's scope. WORKSHOP CHAIR * Karla Vanessa Morris Wright - Sandia National Laboratories ORGANIZING COMMITTEE * Engin Kayraklioglu - Hewlett Packard Enterprise * Kenjiro Taura - University of Tokyo PROGRAM COMMITTEE CO-CHAIRS * Bill Long - Hewlett Packard Enterprise * Daniele Lezzi - Barcelona Supercomputing Center PROGRAM COMMITTEE * Marjan Asgari - National Resources Canada * Scott Baden - University of California, San Diego * Dan Bonachea - Lawrence Berkeley National Laboratory * Jan Ciesko - Sandia National Laboratory * Nelson Dias - Federal University of Parana * Mario Di Renzo - University of Salento * David Eberius - Intel * Engin Kayraklioglu - Hewlett Packard Enterprise * Daniele Lezzi - Barcelona Supercomputing Center * Bill Long - Hewlett Packard Enterprise * Francesc Lordan - Barcelona Supercomputing Center * Henry Monge Camacho - Oak Ridge National Laboratory * Karla Morris - Sandia National Laboratories * Irene Moulitsas - Cranfield University * Catherine Olschanowsky - Advanced Micro Devices, Inc * Tom Quinn - University of Washington * Michel Schanen - Argonne National Laboratory * Michael Schlottke-Lakemper - University of Augsburg * Elliott Slaughter - SLAC National Accelerator Laboratory * Kenjiro Taura - University of Tokyo * Thiago Teixeira - Intel * Jana Thayer - SLAC National Accelerator Laboratory * Miwako Tsuji - Riken Advanced Institute for Computational Science ADVISORY COMMITTEE * Bradford L. Chamberlain - Hewlett Packard Enterprise * Damian W. I. Rouson - Lawrence Berkeley National Laboratory ARTIFACT EVALUATION COMMITTEE CHAIR * Irene Moulitsas - Cranfield University * Elliott Slaughter - SLAC National Accelerator Laboratory ARTIFACT EVALUATION COMMITTEE MEMBERS * Oliver Alvarado Rodriguez - New Jersey Institute of Technology * Desmond Bisandu - Cranfield University * Yakup Budanaz - ETH Zurich * Fabio Durastante - University of Pisa * Guillaume Helbecque - University of Lille * Boyu Neil Kuang - Cranfield University * Soren Rasmussen - National Center for Atmospheric Research * Kate Rasmuseen - Lawrence Berkeley National Laboratory * Anjiang Wei - Stanford University IMPORTANT DATES * Manuscript Submissions deadline: July 24, 2024 * Artifact Description (AD) Stage 1 (mandatory) Submissions deadline: July 24, 2024 * Notification to authors: August 30, 2024 * Artifact Evaluation (AE) Stage 2 (optional) Submissions deadline: September 4, 2024 * AE and Reproducibility Badges review period: September 5-27, 2024 * Camera-ready papers due from authors: September 20, 2024 * Final program: September 27, 2024 * Final AD/AE/Badges decisions and notification to authors: September 30, 2024 * Camera-ready AD/AE due from authors: October 2, 2024 * November 17, 2024: Workshop at SC24

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CFP: SBAC-PAD'2024, Hawaii, USA, November 13-15, 2024
by laurent.lefevre＠ens-lyon.fr 15 Jun '24

15 Jun '24

*** Apologies if multiple copies are received *** Call for Papers SBAC-PAD'2024 IEEE/SBC 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2024) November 13-15, 2024 Hilo Hawaiian Hotel, Hawaii, USA https://sites.google.com/ime.usp.br/sbac2024 SBAC-PAD is an annual international conference series, which presents the latest trends, current research and developments, and novel tools and applications in the fields of Computer Architecture, High-Performance Computing, and Parallel and Distributed Computing technologies. SBAC-PAD is open to industry, faculty, researchers, practitioners, and undergraduate and graduate students from around the world. Its scientific program is composed of high-quality submitted papers, selected by a thorough peer review process, and invited talks from renowned researchers. ***** Important dates Abstract submission deadline July 16th, 2024 AoE (FIRM) Paper submission deadline July 16th, 2024 AoE (FIRM) Rebuttal period August 19 — August 22, 2024 Author notification September 02, 2024 Camera-ready submission September 23, 2024 The program committee will select the top-ranked papers as finalists, and one paper will be selected during the conference as the Best Paper. Selected papers will also be invited to submit an extended version to a special issue of the Journal of Parallel and Distributed Computing. ***** Topics of Interest Authors are invited to submit original manuscripts to one of five tracks that address challenges in any of the following areas related to the fields of Computer Architecture (CA) and High-performance and Distributed Computing (HPDC). Topics of interest include (but are not limited to): Application-specific systems; Architecture and programming support for emerging domains: Big Data, Deep Learning, Machine learning, Cognitive Systems; Artificial intelligence and machine learning methods for CA and HPDC, and CA and HPDC for Artificial intelligence applications; Benchmarking, performance modeling, analysis, and evaluation; Blockchain and distributed ledgers; Cloud, cluster, and edge/fog computing systems; Data-intensive workloads and tools; Data management, storage, and I/O; Embedded and pervasive systems; GPUs, FPGAs, and accelerator architectures; Languages, compilers, and tools for parallel and distributed programming; Modeling and simulation methodologies; Operating systems and virtualization; Parallel and distributed systems, algorithms, models, and applications; Power and energy-efficient systems; Predictive models to improve performance of scientific applications Processing-in-memory or near-data processing technologies Processor, cache, memory, storage, and network architecture; Quantum computing in CA and HPDC; Real-world applications and case studies; Reconfigurable, resilient, and fault-tolerant systems; Security and privacy in CA and HPDC; Workflow systems. ***** Paper submission Papers submitted to SBAC-PAD 2024 must present original research results and must not have been published or concurrently be submitted anywhere else. Please check the conference website for the submission link: https://sites.google.com/ime.usp.br/sbac2024/home Paper submissions must be in English, have 10 pages maximum (excluding the references), and follow the IEEE conference manuscript formatting guidelines for double-column text using a single-spaced 10-point font on 8.5 × 11-inch pages. Templates are available from http://www.ieee.org/conferences/publishing/templates.html. Papers that do not meet these requirements might be rejected without a review. To be published in the conference proceedings and to be eligible for publication at the IEEE Xplore, one of the authors must register at the full rate and present his/her work at the conference. The SBAC-PAD 2024 submissions will undergo a double-anonymized review process, where reviewers will not know the authors' identities, and vice-versa. Therefore, authors should “anonymize” their submission by adopting the following guidelines, otherwise papers will be rejected without review: The authors cannot include their names, affiliations, funding sources, or acknowledgments in any part of the for-review version of their paper; Self-references that are relevant to the work are allowed, but they should not appear in the text in the first person. Instead, they should be referenced in the third person, like “Smith et al. found that… [4].”, and; For the authors' own unpublished work, they need to use anonymous citations. Conference Organisation ***** General Chairs Gerald F. Lofstead (Sandia National Laboratories, USA) Alfredo Goldman (University of Sao Paulo, Brazil) ***** Technical Program Co-Chairs Carla Osthoff (National Laboratory for Scientific Computing, Brazil) J. Nelson Amaral (University of Alberta, Canada) ***** Track Chairs Computer Architecture: Marco Zanata Alves (Universidade Federal do Parana, Brazil) Distributed Systems, Networking, and Storage: Lucas Schor (Universidade Federal do Rio Grande do Sul, Brazil) Parallel Applications and Algorithms: Rosa M. Badia (Barcelona SuperComputing Centre, Spain) Performance Evaluation: Marcos Assuncao (Ecole de Technologie Supérieure, Montreal) System Software: Vinod Rebello (Universidade Federal Fluminense)

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HiPC 2024 CALL FOR PAPERS
by Publicity HiPC 04 Jun '24

04 Jun '24

HiPC 2024 CALL FOR PAPERS 31st IEEE International Conference on High Performance Computing, Data, and Analytics 18–21 December 2024 in Bangalore, India HiPC 2024 is the 31 edition of the IEEE International Conference on High Performance Computing, Data, and Analytics. 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. HiPC 2024 will also explore programs that expand and enrich the conference offerings, including workshops, tutorials, Birds-of-a-Feather meetings, Student Research Symposium, and industrial sessions, which provide increased professional opportunities to conference attendees. 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. Each submission should be submitted to one of the six tracks listed under the two broad themes of High Performance Computing and Data Science. Please see https://www.hipc.org/papers/ for more details. Up to two best paper awards will be given to outstanding contributed papers. Authors of selected high quality papers in HiPC 2024 will be invited to submit extended versions of their papers for possible publication in a special issue of the Journal of Parallel and Distributed Computing (JPDC). *Important Deadlines:*Abstract Submission: June 19, 2024 (Wednesday) Paper Submission (double-blind): June 26, 2024 (Wednesday) Reviews to Authors: August 22, 2024 (Thursday) Rebuttal Period: August 22-27, 2024 (Thursday to Tuesday) Author Notification: September 13, 2024 (Friday) Shepherded Paper Submission: September 27, 2024 (Friday) Final Author Notification: October 5, 2024 (Friday) Submit your paper: https://ssl.linklings.net/conferences/HiPC/ Questions may be sent to pc2024(a)hipc.org GENERAL CO-CHAIRS: Sanmukh Rao Kuppannagari, Case Western Reserve University, USA Arnab K. Paul, Birla Institute of Technology and Science Pilani, Goa Campus, India PROGRAM CO-CHAIRS: HPC: Devesh Tiwari, Northeastern University, USA Data Science: Preeti Malakar, Indian Institute of Technology Kanpur, India STEERING COMMITTEE CHAIR: Viktor K. Prasanna, University of Southern California, USA

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VHPC'24: late-breaking submission opportunity till June 7th (extended)
by Tommaso Cucinotta 23 May '24

23 May '24

[apologies for cross-postings] ==================================================================== CALL FOR PAPERS 19th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '24) held in conjunction with the European Conference on Parallel and Distributed Computing, Aug 26th, 2024, Madrid, Spain. ==================================================================== Late-breaking submission deadline: June 7th, 2024 AoE (extended) (Springer LNCS Proceedings) Date: August 26th, 2024 Workshop URL: https://vhpc.github.io/ To submit an abstract or paper, please follow the link provided in the Call for Papers (CfP) announcement at the end of this message. 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. 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 co-existence within the same OS kernel, promises to provide many of the advantages of machine virtualization with high levels of responsiveness and performance; lastly, uni-kernels provide for many virtualization benefits with a minimized OS/library surface. I/O virtualization, in turn, allows physical network interfaces to exchange traffic with multiple VMs or containers; network virtualization, with its capability to create logical network overlays independently from the underlying physical topology, is another fundamental enabling technology for Cloud/HPC infrastructures. Last, storage virtualization needs to evolve to support increasingly demanding requirements in terms of performance and reliability for the managed application data. 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 cloud computing. Each topic encompasses aspects related to design/architecture, management, performance management, modeling and\ configuration/tooling: Design / Architecture: - Containers and OS-level virtualization (LXC, Docker/Podman, Nitro/Firecracker, Singularity) - Hypervisor support for heterogeneous resources (GPUs, NPUs, co-processors, FPGAs, etc.) - GPU hypervisor memory virtualization in support of high-memory LLM training workloads - Hypervisor extensions to mitigate side-channel attacks ([micro-]architectural timing attacks, privilege escalation) - Use of Risc-V related technologies for cloud, virtualized and HPC use-cases - VM & Container trust and security models - Multi-environment coupling, system software supporting in-situ analysis with HPC simulation - Cloud reliability, fault-tolerance and high-availability - Cloud-based quantum compute services - Energy-efficient and power-aware virtualization - Containers inside VMs with hypervisor isolation - Virtualization support for emerging memory and storage technologies - Lightweight/specialized operating systems in conjunction with virtual machines - Unikernels and use cases for virtualized HPC environments - Formal definition and verification of hypervisors and virtualization system properties - ARM-based hypervisors, ARM virtualization extensions Management: - Container and VM management for HPC and cloud environments - Virtualized/Cloudified instances to support Lambda / Function-as-a- Service (FaaS) Paradigms - HPC services integration, services to support HPC - Service and on-demand scheduling & resource management - Dedicated workload management with VMs or containers - Workflow coupling with VMs and containers - Unikernels and lightweight VM application management - Environments and tools for operating containerized environments (batch, orchestration) - Models for non-HPC workload provisioning on HPC resources Performance Measurements and Modeling: - Performance improvements for or driven by unikernels - Optimizations of virtual machine monitor platforms and hypervisors - Scalability analysis of VMs and/or containers at large scale - Performance measurement, modeling and monitoring of virtualized/ cloud workloads - Virtualization in supercomputing environments, HPC clusters, HPC in the cloud with an emphasis on AI GPUs/TPUs/NPUs - Energy-efficient deployment of high-performance, ultra-low latency and real-time workloads in cloud infrastructures - Modeling, control and isolation of end-to-end performance for parallel & distributed cloud/HPC applications, including the use of cloud functions / FaaS Configuration / Tooling: - Tool support for unikernels: configuration/build environments, debuggers, profilers - Job scheduling/control/policy and container placement in virtualized environments - Measuring and controlling "OS/Virtualization noise" - Operating MPI in containers/VMs and Unikernels - GPU virtualization operationalization This year, we are calling the timely topic of virtualization in support of high-memory LLM training workloads including, but not limited to: - GPU hypervisor memory virtualization: Techniques for virtualizing GPU memory to allow flexible and efficient allocation across multiple workloads, enabling higher utilization of GPU resources - Flat CPU/GPU memory page tables/TLB: Unified virtual memory spaces and page table structures that allow both GPUs to address CPU memory mapped to accelerator global memory space - Storage/filesystem to virtual memory mapped approaches - Distributed memory virtualization - Memory compression and reduction techniques: approaches for compressing model parameters, activations, and gradients to reduce memory requirements during training - Out-of-core training algorithms - Efficient memory allocation and management: Techniques for optimizing memory allocation, reducing fragmentation, and improving memory utilization during training - Memory-efficient data formats and processing: Data formats and processing techniques that minimize memory overhead while maintaining training efficiency - Benchmarking and profiling tools: Tools and methodologies for measuring, analyzing, and optimizing memory usage in LLM training workloads - Case studies and applications: Real-world examples and applications of virtualization techniques in LLM training scenarios 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 Rolling abstract submission May 20th, 2024 AoE (extended) - Paper submission deadline Jun 20th, 2024 - Acceptance notification Jul 1st, 2024 - Camera-ready due Aug 26th-27th, 2024 - Workshop Day(s) Organization Michael Alexander (chair), Austrian Academy of Sciences Anastassios Nanos (co-chair), Nubificus Ltd., UK Tommaso Cucinotta (co-chair), Scuola Superiore Sant'Anna, Italy Publicity chair Remo Andreoli, Scuola Superiore Sant'Anna, Italy Technical Program Committee - Stergios Anastasiadis, University of Ioannina, Greece - Gabriele Ara, Scuola Superiore Sant'Anna - Jakob Blomer, CERN, Switzerland - Eduardo César, Universidad Autonoma de Barcelona, Spain - Taylor Childers, Argonne National Laboratory, USA - François Diakhaté, CEA DAM, France - Roberto Giorgi, University of Siena, Italy - Kyle Hale, Northwestern University, USA - Giuseppe Lettieri, University of Pisa, Italy - Nikos Parlavantzas, IRISA, France - Amer Qouneh, Western New England University, USA - Carlos Reaño, Queen’s University Belfast, UK - Riccardo Rocha, CERN, Switzerland - Lutz Schubert, University of Ulm, Germany - 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 12 pages, including tables and figures at a main font size no smaller than 11 points. 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. Initial submissions are in PDF; authors of accepted papers will be requested to provide source files. Lightning Talks Lightning Talks are in a 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 abstracts via the main submission link. General Information The workshop will be held in conjunction with the International European Conference on Parallel and Distributed Computing on Aug 26-30, 2024, Madrid, Spain. Abstract, Paper Submission Link: https://edas.info/newPaper.php?c=31582 LNCS Format Guidelines: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… Follow VHPC Updates on X: https://twitter.com/VHPCworkshop -- Tommaso Cucinotta, Associate Professor in Computer Engineering, PhD Coordinator of the Cyber Physical Research Area Real-Time Systems Laboratory (ReTiS) Scuola Superiore Sant'Anna, Pisa, Italy http://retis.sssup.it/people/tommaso

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