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Advanced. Deep dive for people who know the field.
33K views6 years ago1 recommendation
HardwareAI and machine learningCPUs and computer architectureGPUs, shaders and CUDATraining and serving models
Jim Keller compares scalar, vector, and GPU-style parallel approaches to computation and discusses the future of Moore's Law for AI hardware.
For more talks and to view corresponding slides, go to scaledml.org, select [media archive]. Presented at the 5th Annual Scaled Machine Learning Conference 2020 Venue: Computer History Museum scaledml.org | #scaledml2020What people say. Engineers recommend this talk for its insights into hardware architecture, parallel computing paradigms, and the future of silicon.
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