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Performance monitoring and benchmarking suite

  • likwid
  • hardware-performance-counters
  • threading
  • x86

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Simple, fast, accurate single-header microbenchmarking functionality for C++11/14/17/20