IXPUG Annual Conference 2023: IXPUG Annual Conference 2023 Intel headquarters Santa Clara, CA, United States, September 21-22, 2023 |
Conference website | https://www.ixpug.org/events/ixpug-2023 |
Submission link | https://easychair.org/conferences/?conf=ixpugannualconferenc1 |
Abstract registration deadline | August 18, 2023 |
Submission deadline | August 18, 2023 |
Event Description
IXPUG Annual Conference 2023 is a two-day gathering of HPC and AI experts featuring keynotes, tech talks, lightning talks, site updates, and more. The event welcomes software developers, scientists, researchers, academics, systems analysts, students, and end-users who want to share with and learn from our vibrant, global community via technical discussion and networking. With growing convergence of HPC and AI, challenges surrounding application performance and scalability will be covered across all levels, including tuning and optimization of diverse sets of applications on HPC systems. Topics are wide-ranging, including system hardware beyond the processor (memory, interconnects, etc.), accelerators (e.g., GPUs, AI accelerators, FPGAs), as well as topics related to oneAPI, tools, programming models, HPC and AI workloads, and more. Key themes: High performance computing, heterogeneous computing, artificial intelligence, visualization, memory, I/O, and storage.
Submission Guidelines
If you are interested in presenting a talk, or technical session, please submit a short abstract by Friday, August 18, 2023 (AoE) via EasyChair. While in-person presentations are preferred, pre-recorded videos will be allowed as presentation in exceptional cases. Published or work-in-progress research in respective areas are encouraged and presenters retain the right to publish elsewhere. All final presentations are due by September 15, 2023 (AoE).
Topics of Interest
- Application characterization on emerging technologies: processors (Intel® Xeon® Scalable processors, Intel® GPUs, Intel® FPGAs, etc.), CXL-attached memory, OPA, etc.
- Experience with incorporating machine learning and deep learning in HPC applications and workflows including surrogate modeling, foundational models, augmented experiment design, etc.
- Performance analysis, optimization, and best practices, and implications of HPC and HPC-AI 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.
Important Dates
- Abstract submission deadline: August 18, 2023 (AoE)
- Acceptance notification: August 25, 2023
- Presenters’ confirmation deadline: September 1, 2023
- Presenters’ consent deadline: September 1, 2023
- Final presentations due from speakers: September 19, 2023 (updated)
- IXPUG sessions (event dates): September 21-22, 2023
Program Committee
- Glenn Brook, Cornelis Networks
- Michael Hennecke, Intel Corporation
- Nalini Kumar, Intel Corporation
- David Martin, Argonne National Laboratory
- Christopher Mauney, Los Alamos National Laboratory
- Amit Ruhela, Texas Advanced Computing Center (TACC)
Publication
IXPUG Annual Conference 2023 presentations will be published on the IXPUG website. All presenters will retain the copyright to their work.
Venue
Intel headquarters, Santa Clara, CA
Contact
Questions? Email events@ixpug.org