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DTSTART;TZID=America/Denver:20231117T083500
DTEND;TZID=America/Denver:20231117T092000
UID:submissions.supercomputing.org_SC23_sess459_misc206@linklings.com
SUMMARY:Invited Talk: Spatial Computing with AMD AI Engines
DESCRIPTION:Phil James-Roxby (AMD Research)\n\nNew compute architectures w
 ith high performance cores, distributed memories and hardware accelerated 
 data movement are becoming available in new form factors, even finding the
 ir ways into laptops.  In this talk, I will discuss one such architecture,
  AMD’s AI Engine, and show how researchers are taking advantage of open so
 urce code to map their applications onto this spatial architecture.  \n\nD
 uring the talk, I will highlight the unique features of the AI Engine, and
  describe how open source is making these devices more accessible includin
 g new capabilities like dynamic dispatch of kernels.  In addition, I will 
 describe an application ported to the AI Engines which is able to outperfo
 rm CPUs and GPUs to show the breadth of target applications possible on th
 ese spatial compute devices.\n\nTag: Architecture and Networks\n\nRegistra
 tion Category: Workshop Reg Pass\n\nSession Chairs: Jason Bakos (Universit
 y of South Carolina); Franck Cappello (Argonne National Laboratory (ANL), 
 University of Illinois); Torsten Hoefler (ETH Zürich, Microsoft Corporatio
 n); Kenneth O'Brien (Advanced Micro Devices, Inc. (AMD)); and Christian Pl
 essl (Paderborn University, Germany)\n\n
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