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DTSTAMP:20181221T160907Z
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:Birds of a Feather\nArchitectures, Networks, Tech Program Reg 
 Pass, Exhibits Reg Pass, Exhibits - Exhibit Hall Only Reg Pass\n\nMulti-Le
 vel Memory and Storage for HPC and Data Analytics\n\nHoppe, Weiland, Mohro
 r\n\nRecent progress in storage-class memory (SCM) technologies combined w
 ith emerging workloads mixing HPC simulations with big data processing or 
 machine learning do create a perfect opportunity for innovative HPC system
 s embracing SCM. These will substantially improve delivered performance, s
 calability and energy efficiency for data-oriented HPC codes as well as “m
 ixed” applications, and can play a large role in scaling the “I/O wall” wh
 en moving to exascale-class systems.\n\nThis BoF brings together technolog
 y providers, application and system SW developers, and system operators to
  discuss the evolving SCM landscape in the context of specific use cases, 
 emerging technologies, and actual success stories.
URL:https://sc18.supercomputing.org/presentation/?id=bof131&sess=sess388
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