IXPUG Annual Conference 2022

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IXPUG Annual Conference 2022

Hosted by Argonne National Laboratory

The 2022 IXPUG Annual Conference will be hosted by Argonne National Laboratory. HPC users and enthusiasts across the globe are invited to attend and participate. Join us to share your experiences with all aspects of adopting and employing state-of-the-art technologies and practices for optimal application execution on Intel XPU platforms. Through our interactive, open forum IXPUG brings together speakers across supercomputing, including renowned industry leaders, and experts from Intel. Together we share real-world experiences, best practices, and techniques for maximizing software productivity and efficiency.

Conference Dates: September 28-30, 2022

Venue: Argonne National Laboratory, Building 240 (Lemont, Illinois) in-person and live online

Call for Abstracts: Submissions are due Friday, August 12, 2022 (AoE) via EasyChair

Registration: Registration link and instructions to request site access coming soon!

Lodging: Conference attendees are encouraged to stay at the conveniently located Argonne Guest House – please mention “IXPUG Annual Conference” when making your reservation.

Event Description: IXPUG Annual Conference 2022 will feature keynote/invited talks, 30-minute technical sessions, lightning talks, site updates, and hands-on tutorials. The conference draws expert software developers, scientists, researchers, academics, systems analysts, students, and end-users for technical discussion and networking. Challenges surrounding application performance and scalability will be covered across all levels, including tuning and optimization of diverse sets of applications on large-scale HPC systems. This includes system hardware beyond the processor (memory, interconnects, etc.), accelerators (e.g., GPUs, FPGAs), as well as topics related to oneAPI, software tools, programming models, HPC workloads, and more. Key themes: high-performance computing, data analytics, artificial intelligence (machine learning and deep learning), HPC in the cloud, and COVID-19 related biomedical simulations and data analytics applications.
Submission Guidelines
If you are interested in presenting a talk, or tutorial, please submit a short abstract by Friday, August 12, 2022 (AoE) via EasyChair. While in-person presentations are preferred, pre-recorded videos will be allowed as presentation in exceptional cases. The content should reflect the following topics of interest. Published or work-in-progress research in respective areas are encouraged. All final presentations are due by September 23, 2022. Include keywords that pertain to the techniques, Intel products, and associated domains that pertain to your technical work, such as:
  • Techniques: Artificial Intelligence (Machine Learning/Deep Learning), Algorithms & Methods, Compiler Flags, Software Environment & Tools, Libraries & Tools, Parallel- Programming (Communications, Thread & Process Management Experience, All), Multi-node, Memory Management, Vectorization, Troubleshooting, etc.
  • Products: Intel® Xeon® Scalable processors, Intel Xe graphics, Intel® FPGAs, Intel® Optane, Distributed Asynchronous Object Storage (DAOS), Visualization Technology, Intel® SW Tools, Intel® oneAPI, etc.
  • Domains: Astrophysics, Bioinformatics, Chemistry, Climate & Weather, Computational Fluid Dynamics, Data Analytics, Energy/Oil & Gas, Financial Services, Genomics Analytics, Geophysics, Life Sciences, Material Science, Medical Imaging, Molecular Dynamics, Nanotechnology, Physics, Visualization, High Energy Physics, etc.

Topics of Interest

  • Implications of workload behavior on system design at extreme scale (Power, Reliability, Scalability, Performance, Processor Design, Memory System, I/O)
  • Software environments and tools for computing at extreme scale (Instrumentation, Debugging/Correctness, Thread and Process Management, Libraries and Language Development)
  • Experience with incorporating machine learning and deep learning in HPC applications and workflows including performance analysis, optimization, and best practices
  • Experience using extreme scale systems: Usability, In-situ Visualization, Programming Challenges, Algorithms and Methods, etc.
  • Application characterization on emerging technologies: Non-volatile memory (NVMe), processors (Intel® Xeon® Scalable processors, Intel® GPUs, Intel® FPGAs, etc.)

Important Dates

  • Abstract submission deadline: August 12, 2022 (AoE)
  • Acceptance notification: August 19, 2022
  • Presenters’ consent deadline: September 9, 2022
  • Final presentations due from speakers: September 23, 2022
  • IXPUG sessions (event dates): September 28-30, 2022

IXPUG 2022 Program Committee

  • Organizing Chair: David Martin, Argonne National Laboratory
  • Co-Chair: R. Glenn Brook, Cornelis Networks
  • Co-Chair: Christopher Mauney, Los Alamos National Laboratory
  • Aksel Alpay, Heidelberg University
  • Melyssa Fratkin, Texas Advanced Computing Center (TACC)
  • Maria Girone, CERN openlab
  • Toshihiro Hanawa, The University of Tokyo
  • Clayton Hughes, Sandia National Laboratories
  • David Keyes, King Abdullah University of Science & Technology
  • Nalini Kumar, Intel Corporation
  • James Lin, Shanghai Jiao Tong University
  • Hatem Ltaief, King Abdullah University of Science & Technology
  • Amit Ruhela, Texas Advanced Computing Center (TACC)
  • Thomas Steinke, Zuse Institute Berlin

IXPUG Annual Conference 2022 presentations will be published on the IXPUG website. All presenters will retain the copyright to their work.

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