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 via Zoom

Zoom: Online participants may join via Zoom: https://argonne.zoomgov.com/j/1611626663

Slack Channel: Join the IXPUG Slack channel during the conference: https://join.slack.com/t/ixpug/shared_invite/zt-1fmsrsj2q-emm~phMac3RDV4yIV7stGA

Registration: The registration deadlines have passed. For late registration consideration, please follow the instructions at https://events.cels.anl.gov/event/336/

Lodging: Conference attendees are encouraged to stay at the conveniently located Argonne Guest House – please mention “IXPUG Annual Conference” when making your reservation. Specify the following when completing the Argonne Guest House online registration form: ARGONNE CONTACT Rose Lynch This email address is being protected from spambots. You need JavaScript enabled to view it. and ARGONNE CONTACT PHONE (630) 252-3426.

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.
Conference Agenda:  All times are shown in CDT.
Wednesday, September 28 (Day 1)
Time Title Presenter
8:30-8:40 Welcome

David Martin, Argonne National Laboratory
R. Glenn Brook, Cornelis Networks, Inc.

8:40-9:30  Keynote on the future of HPC and scientific discovery [View Presentation] Rick Stevens, Argonne National Laboratory 
  Session Chair: Clay Hughes  
  Track: Programming  

Mapping Cores, CHAs, and Addresses in the Xeon Platinum 8380 [View Presentation]

John D. McCalpin, Texas Advanced Computing Center, University of Texas at Austin
10:00-10:30 Improving MPI+Threads with MPIX_Stream [View Presentation] Ken Raffenetti, Argonne National Laboratory
10:30-11:00 Break  
11:00-11:30 Recovery of Distributed Iterative Solvers for Linear Systems with Non-Volatile RAM [View Presentation] Yehonatan Fridman, Israel Atomic Energy Commission and Ben-Gurion University
11:30:12:00 Data Transfers and Host/Device Communication using OneAPI for FPGA Phillip Lane, Sandia National Laboratories
12:00-13:30 Lunch  
  Session Chair: Nalini Kumar  
  Track: Porting  
13:30-14:00 Migrating from CUDA to C++ with SYCL

Chekuri Choudary, Intel Corporation


Porting Multi-Dimensional Numerical Integration Methods from CUDA to oneAPI

Ioannis Sakiotis, Old Dominion University

14:30-15:00 Migrating Compaction Kernels from CUDA to HIP and SYCL Zheming Jin, Oak Ridge National Laboratory
15:00-15:30 Break  
15:30-16:00 Platform Independent Implementation of GPU Support in the Tensor Transposition Library, LibreTT Victor Anisimov, Argonne National Laboratory
  Track: Performance  
16:00-16:30 Practical MPI Collective Autotuning using Machine Learning at Exascale Michael Wilkins, Northwestern University
  Track: Performance/Porting  
16:30-17:00 Porting and performance benchmarking of a compressible flow solver on Intel GPU computing platforms Umesh Unnikrishnan, Argonne National Laboratory
17:00-17:30 Break  
17:30-19:30 Dinner  
Thursday, September 29 (Day 2)
Time Title Presenter
9:00-9:10 Welcome

David Martin, Argonne National Laboratory
R. Glenn Brook, Cornelis Networks, Inc.

9:10-10:00 Keynote: New Era for Intel HPC Acceleration: Architecture, Systems & Software [Presentation] Hong Jiang, Intel Corporation
  Session Chair: R. Glenn Brook  
  Track: Performance  
10:00-10:30 Autotuning Hybrid MPI/OpenMP Applications for Energy Efficiency at Large Scales Xingfu Wu, Argonne National Laboratory
10:30-11:00 Break  
11:00-11:30 Performance Portability is (sort of) a Lie: Lessons Learned from the Parthenon Collaboration Daniel Holladay, Los Alamos National Laboratory
11:30-12:00 Aurora and ALCF Site Update Susan Coghlan, Argonne National Laboratory
12:00-13:30 Lunch and Aurora tours  
  Session Chair: Amit Ruhela  
13:30-14:00 Site Updates

Hatem Ltaief, King Abdullah University of Science & Technology
John Cazes, Texas Advanced Computing Center
Thomas Steinke, Zuse Institute Berlin

  Track: Hardware  
14:00-14:30 Deploying Multiphysics Computational Fluid Dynamics Simulations to the Cloud Akash Dhruv, Argonne National Laboratory
14:30-15:00 The Evolution of Storage and Memory Hierarchy and the DAOS Role in It

Andrey Kudryavtsev, Intel Corporation
Kevin Harms, Argonne Leadership Computing Facility

15:00-15:30 New Method for Reducing Data Size by Encoding Quantum Bits in Classical Data Nagi Mekhiel, Ryerson University
15:30-16:00 Break  
16:00-16:30 Breaking the Microsecond Barrier with OPX Doug Fuller, Cornelis Networks, Inc.
16:30-17:00 Creating Ultimate Chiplet-Based Systems Ramin Farjadrad, Eliyan Corp.
  Track: AI  
17:00-17:30 Developing Performant and Reproducible AI Workflows for Scientific Discovery on Intel® Xeon® Scalable processors Kin Long Kelvin Lee, Intel Corporation
  Track: Hardware  
17:30-18:00 Overcoming the Development and Deployment Challenges for FPGAs at Cloud Scale Deshanand Singh, Intel Corporation
18:00-19:30 Reception  
Friday, September 30 (Day 3)
Time Title Presenter
9:00-9:10 Welcome

David Martin, Argonne National Laboratory
R. Glenn Brook, Cornelis Networks, Inc.

9:10-9:45 AI Keynote: Frontiers in Scientific Discovery at the Interface of AI and HPC Eliu Huerta, Argonne National Laboratory 
  Session Chair: David Martin  
9:45-10:45 Speeding Up End-to-End Development of AI at Large Scale Joshua Mora, Intel Corporation
10:45-11:00 Break  
11:00-12:30 HPC AI Workload Best Practices: Training and Inference Optimizations on Next Gen Intel® Xeon® Scalable processors (codenamed Sapphire Rapids)

Nalini Kumar, Intel Corporation
Soumyadip Ghosh, Intel Corporation

Abstract 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.

Questions? Email This email address is being protected from spambots. You need JavaScript enabled to view it.