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DTSTART:19700308T020000
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DTSTAMP:20181221T160727Z
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:Workshop\nProgram Transformation, Programming Systems, Worksho
 p Reg Pass\n\nKeynote: Glow: An Optimizing Compiler for High-Performance M
 achine Learning\n\nMaher\n\nMachine learning is an increasingly large frac
 tion of datacenter workloads, making efficient execution of ML models a pr
 iority for industry. At the same time, the slow down of Moore's Law has cr
 eated space for a plethora of innovative hardware designs to wring maximum
  performance from each transistor. To bridge the gap between software and 
 hardware, we need compilers that understand both the characteristics of ML
  workloads and the nuances of the hardware. In this talk, I will describe 
 how Facebook's Glow compiler leverages LLVM infrastructure to build a high
 -performance software stack for machine learning, by combining high-level 
 domain-specific optimizations with customized low-level code generation st
 rategies.
URL:https://sc18.supercomputing.org/presentation/?id=pec433&sess=sess176
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