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DTSTART:19700308T020000
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DTSTAMP:20260522T150116Z
LOCATION:D171
DTSTART;TZID=America/Chicago:20181114T110000
DTEND;TZID=America/Chicago:20181114T113000
UID:submissions.supercomputing.org_SC18_sess271_exforum126@linklings.com
SUMMARY:Experience New Records for Speed and Scale: High Performance Genom
 ics and Imaging
DESCRIPTION:Frank Lee (IBM)\n\nThrough real use cases and live demo, Frank
  Lee, PhD, Global Industry Leader for Healthcare & Life Sciences, and his 
 extended team, will illustrate the reference architecture and solution for
  high performance data and AI platforms (HPDA), deployed for cloud-scale d
 ata management, multi-cloud workload orchestration and converged high perf
 ormance computing with deep learning.\n\nThis presentation will demonstrat
 e the four key values of an HPDA architecture - high performance, low cost
 , ease of use, and collaboration - based on the following use cases of: th
 e fastest and fully-automated clinical genomics pipeline and the world's l
 argest genomics database that can ingest and annotate 10 million variants 
 per hour. Also, high-performance deep learning and AI for cancer and medic
 al imaging, data ocean for genomics that spans multiple public clouds, met
 adata and provenance tracking for complex analytical workflow, and much mo
 re ...\n\nTag: Machine Learning, Scientific Computing\n\nSession Chair: Sc
 ott Michael (Indiana University)\n\n
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