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X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20260522T150115Z
LOCATION:C147/148/154
DTSTART;TZID=America/Chicago:20181113T171500
DTEND;TZID=America/Chicago:20181113T184500
UID:submissions.supercomputing.org_SC18_sess388_bof131@linklings.com
SUMMARY:Multi-Level Memory and Storage for HPC and Data Analytics
DESCRIPTION:Hans-Christian Hoppe (Intel Corporation), Michèle Weiland (Uni
 versity of Edinburgh), and Kathryn Mohror (Lawrence Livermore National Lab
 oratory)\n\nRecent progress in storage-class memory (SCM) technologies com
 bined with emerging workloads mixing HPC simulations with big data process
 ing or machine learning do create a perfect opportunity for innovative HPC
  systems embracing SCM. These will substantially improve delivered perform
 ance, scalability and energy efficiency for data-oriented HPC codes as wel
 l as “mixed” applications, and can play a large role in scaling the “I/O w
 all” when moving to exascale-class systems.\n\nThis BoF brings together te
 chnology providers, application and system SW developers, and system opera
 tors to discuss the evolving SCM landscape in the context of specific use 
 cases, emerging technologies, and actual success stories.\n\nTag: Architec
 tures, Networks\n\nRegistration Category: Tech Program Reg Pass, Exhibits 
 Reg Pass, Exhibits - Exhibit Hall Only Reg Pass\n\n
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