cTuning foundation (a founding member of MLCommons and ACM taskforce on reproducibility)

Images for CK documentation

Prototyping CK workflows for ML training

Collective Knowledge repository to support artifact evaluation and reproducibility initiatives:

CK automation actions to let users implement portable, customizable and reusable program workflows for reproducible, collaborative and multi-objective benchmarking, optimization and SW/HW co-design:

Collective Knowledge extension with unified and customizable benchmarks (with extensible JSON meta information) to be easily integrated with customizable and portable Collective Knowledge workflows. You can easily compile and run these benchmarks using different compilers, environments, hardware and OS (Linux, MacOS, Windows, Android). More info:

CK automation recipes for the MLPerf inference benchmark:

CK repository for cKnowledge.org website:

minimal CK components for ML