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DTSTAMP:20260522T150127Z
LOCATION:D171
DTSTART;TZID=America/Chicago:20181114T103000
DTEND;TZID=America/Chicago:20181114T120000
UID:submissions.supercomputing.org_SC18_sess271@linklings.com
SUMMARY:Machine Learning and AI
DESCRIPTION:Accelerate Machine Learning with High Performance Memory\n\nMa
 chine learning is driving the next industrial revolution, through the use 
 of easy to program accelerator boards, you can be in the driver seat. In t
 his talk, Micron will discuss a new novel inference engine architecture th
 at provides the benefits of hardware acceleration, that supports a wide ra
 ng...\n\n\nMark Hur (Micron Technology Inc)\n---------------------\nProduc
 tive and Performant AI Platforms of the Future\n\nThus far, contributions 
 to hardware and software tools for advanced analytics and artificial intel
 ligence has come from the commodity/cloud computing community. In this tal
 k, we share exciting results from efforts that ported software frameworks 
 such as Apache Spark and TensorFlow onto high performa...\n\n\nRangan Suku
 mar (Cray Inc)\n---------------------\nExperience New Records for Speed an
 d Scale: High Performance Genomics and Imaging\n\nThrough real use cases a
 nd live demo, Frank Lee, PhD, Global Industry Leader for Healthcare & Life
  Sciences, and his extended team, will illustrate the reference architectu
 re and solution for high performance data and AI platforms (HPDA), deploye
 d for cloud-scale data management, multi-cloud workloa...\n\n\nFrank Lee (
 IBM)\n\nTag: Machine Learning, Scientific Computing\n\nSession Chair: Scot
 t Michael (Indiana University)
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