GSPMD automatically infers tensor partitioning from limited user annotations to parallelize single-device ML programs across thousands of TPUs, reporting 50-62% utilization for up to trillion-parameter models.
Glow: Graph lowering compiler techniques for neural networks, 2018
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GSPMD: General and Scalable Parallelization for ML Computation Graphs
GSPMD automatically infers tensor partitioning from limited user annotations to parallelize single-device ML programs across thousands of TPUs, reporting 50-62% utilization for up to trillion-parameter models.