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DTSTART;TZID=America/Denver:20231116T133000
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UID:submissions.supercomputing.org_SC23_sess192@linklings.com
SUMMARY:Scalable and Adaptable Architectures for AI/HPC Advancement
DESCRIPTION:Panel\n\nScalable and Adaptable Architectures for AI/HPC Advan
 cement\n\nAI/Machine Learning usage is exploding in both application and m
 odel size. Predictive analytics, physics, modeling, and new use cases for 
 generative AI/ML are increasing model sizes by 10x every 18 months. The cu
 stom processors and accelerators used for AI/ML require continually higher
  I/O bandwidth...\n\n\nKeren Bergman (Columbia University); John Shalf (La
 wrence Berkeley National Laboratory (LBNL)); Sadaf Alam (University of Bri
 stol); Vladimir Stojanovic (University of California, Berkeley; Ayar Labs)
 ; Sergey Shumaray (Intel Corporation); Larry Dennison (NVIDIA Corporation)
 ; and Vivek Raghunathan (Xscape Photonics)\n\nTag: Artificial Intelligence
 /Machine Learning\n\nRegistration Category: Tech Program Reg Pass\n\nSessi
 on Chair: Keren Bergman (Columbia University, Ayar Labs)
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