BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20181221T160725Z
LOCATION:D170
DTSTART;TZID=America/Chicago:20181111T105200
DTEND;TZID=America/Chicago:20181111T111400
UID:submissions.supercomputing.org_SC18_sess149_ws_mchpc106@linklings.com
SUMMARY:Evaluation of Intel Memory Drive Technology Performance for Scient
 ific Applications
DESCRIPTION:Workshop\nMemory, NVRAM, Parallel Programming Languages, Libra
 ries, and Models, Workshop Reg Pass\n\nEvaluation of Intel Memory Drive Te
 chnology Performance for Scientific Applications\n\nMironov, Kudryavtsev, 
 Alexeev, Moskovsky, Kulikov...\n\nIn this paper, we present benchmark data
  for Intel Memory Drive Technology (IMDT), which is a new generation of So
 ftware-defined Memory (SDM) based on Intel ScaleMP collaboration and using
  3D XPoint TM based Intel Solid-State Drives (SSDs) called Optane. We stud
 ied IMDT performance for synthetic benchmarks, scientific kernels, and app
 lications. We chose these benchmarks to represent different patterns for c
 omputation and accessing data on disks and memory. To put performance of I
 MDT in comparison, we used two memory configurations: hybrid IMDT DDR4/Opt
 ane and DDR4 only systems. The performance was measured as a percentage of
  used memory and analyzed in detail. We found that for some applications D
 DR4/Optane hybrid configuration outperforms DDR4 setup by up to 20%
URL:https://sc18.supercomputing.org/presentation/?id=ws_mchpc106&sess=sess
 149
END:VEVENT
END:VCALENDAR