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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
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20260522T150123Z
LOCATION:D175
DTSTART;TZID=America/Chicago:20181112T091500
DTEND;TZID=America/Chicago:20181112T100000
UID:submissions.supercomputing.org_SC18_sess176_pec433@linklings.com
SUMMARY:Keynote: Glow: An Optimizing Compiler for High-Performance Machine
  Learning
DESCRIPTION:Bert Maher (Facebook)\n\nMachine learning is an increasingly l
 arge fraction of datacenter workloads, making efficient execution of ML mo
 dels a priority for industry. At the same time, the slow down of Moore's L
 aw has created space for a plethora of innovative hardware designs to wrin
 g maximum performance from each transistor. To bridge the gap between soft
 ware and hardware, we need compilers that understand both the characterist
 ics of ML workloads and the nuances of the hardware. In this talk, I will 
 describe how Facebook's Glow compiler leverages LLVM infrastructure to bui
 ld a high-performance software stack for machine learning, by combining hi
 gh-level domain-specific optimizations with customized low-level code gene
 ration strategies.\n\nTag: Program Transformation, Programming Systems\n\n
 Registration Category: Workshop Reg Pass\n\n
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