Publication | Closed Access
MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance
151
Citations
5
References
2020
Year
EngineeringMachine LearningMachine Learning ToolComputer ArchitectureHardware SystemsMlperf InferenceDatabase BenchmarkingData ScienceData MiningBenchmark StudyManagementComputing SystemsMachine Learning PerformanceParallel ComputingMlperf Training BenchmarkPerformance ImprovementPerformance PredictionBenchmark DatasetsPredictive AnalyticsComputer EngineeringComputer SciencePerformance BenchmarkBenchmarking ToolParallel Programming
In this article, we describe the design choices behind MLPerf, a machine learning performance benchmark that has become an industry standard. The first two rounds of the MLPerf Training benchmark helped drive improvements to software-stack performance and scalability, showing a 1.3× speedup in the top 16-chip results despite higher quality targets and a 5.5× increase in system scale. The first round of MLPerf Inference received over 500 benchmark results from 14 different organizations, showing growing adoption.
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