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Argonne to Host IXPUG Annual Conference, Sept. 28-30

Sept. 13, 2022 — The Intel Extreme Performance Users Group (IXPUG) will hold its annual conference from Wednesday, Sept. 28 to Friday, Sept. 30 at Argonne National Laboratory.

The agenda is published and registration is open at: https://events.cels.anl.gov/event/336/. The conference agenda can be found here.

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.

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

Registration deadlines: Foreign nationals: September 14, 2022; U.S. citizens: September 21, 2022

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

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 rlynch@anl.gov 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.

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