Abstract submission deadline extended! Submissions now due Wednesday, September 22, 2021 AoE

IXPUG Annual Conference 2021

This Intel eXtreme Performance Users Group (IXPUG) conference is focused on all aspects of adopting and employing state-of-the-art technologies and practices for optimal application execution on Intel XPU platforms. The 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.

The conference draws expert software developers, scientists, researchers, academics, systems analysts, students, and end-users. It will feature keynote/invited talks, 30-minute technical sessions, lightning talks, hands-on tutorials, and site updates. Each year IXPUG brings together speakers from a wide variety of HPC organizations, renowned industry leaders, and Intel experts to share their real-world experiences, best practices, and techniques for maximizing software productivity and efficiency. Be part of this interactive, open forum with live Q&A!

Submission Guidelines

A short abstract should be submitted by Wednesday, September 22, 2021 AoE (UPDATED DEADLINE!) via EasyChair and the content should reflect the topics of interest that are listed below. Published or work-in-progress research in respective areas are encouraged. All final presentations are due by October 15, 2021. We would like you to include keywords that pertain to the techniques, Intel products, and associated domains that pertain to your technical work. Please see the full list below:

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 processor, Intel Xe graphics, Intel® FPGA, Intel® Optane, Intel® Lustre Software and 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, Geophysics, Life Sciences, Material Science, Medical imaging, Molecular Dynamics, Nanotechnology, Physics, Visualization, High Energy Physics, etc.

Abstract 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 using extreme scale systems: Usability, In-situ Visualization, Programming Challenges, Algorithms and Methods, etc.
• Application characterization on emerging technologies: Novel Memories (NVM), processors (Intel® Xeon Scalable processor, Intel® GPUs, Intel® FPGA, etc.)
• Experience with incorporating machine learning and deep learning in HPC applications and workflows including performance analysis, optimization, and best practices

Important Dates

• Abstract submission deadline: September 22, 2021 (AoE) UPDATED DEADLINE!
• Acceptance notification: October 1, 2021
• Presenters’ consent deadline: October 4, 2021
• Final presentations due from speakers: October 15, 2021
• IXPUG sessions (event dates): October 19-21, 2021

IXPUG 2021 Program Committee

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

Publication

IXPUG Annual Conference 2021 presentations will be published on the IXPUG website. All presenters will retain the copyright to their work.

Venue

Location: Online (register in advance), hosted by TACC

Contact

Questions? Email events@ixpug.org