A characterization study showing MLPerf v0.5 training benchmarks are distinct from DAWNBench and DeepBench, scale differently across GPUs, and are sensitive to interconnect topology, mixed precision, and compiler optimizations.
TensorFlow: Large-scale machine learning on heterogeneous systems,
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Demystifying the MLPerf Benchmark Suite
A characterization study showing MLPerf v0.5 training benchmarks are distinct from DAWNBench and DeepBench, scale differently across GPUs, and are sensitive to interconnect topology, mixed precision, and compiler optimizations.