Keynote: Glow: An Optimizing Compiler for High-Performance Machine Learning
Authors: Bert Maher (Facebook)
Abstract: Machine learning is an increasingly large fraction of datacenter workloads, making efficient execution of ML models a priority for industry. At the same time, the slow down of Moore's Law has created 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 strategies.
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