A cross-platform client to perform collaborative and reproducible benchmarking, optimization and co-design of software and hardware for emerging workloads (AI, ML, quantum, IoT) via the open cKnowledge.io portal
cBench is a small and cross-platform framework connected with the open Collective Knowledge portal to help researchers and practitioners reproduce ML&systems research on their own bare-metal platforms, participate in collaborative benchmarking and optimization, and share results on live scoreobards.
cBench is a part of the Collective Knowledge project (CK) and uses portable CK solutions to describe how to download, build, benchmark and optimize applications across different hardware, software, models and data sets.
|As a host platform||As a target platform|
Object detection crowd-benchmarking demo on Ubuntu
sudo apt update sudo apt install git wget libz-dev curl cmake sudo apt install gcc g++ autoconf autogen libtool sudo apt install libfreetype6-dev sudo apt install python3.7-dev sudo apt install -y libsm6 libxext6 libxrender-dev
python3 -m pip install cbrain
Initialize the CK solution for MLPerf:
cb init demo-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows
Participate in crowd-benchmarking:
cb benchmark demo-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows
See results on a public SOTA dashboard.
You can also use the stable Docker image to participate in crowd-benchmarking:
sudo docker run ctuning/cbench-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows /bin/bash -c "cb benchmark demo-obj-detection-coco-tf-cpu-benchmark-linux-portable-workflows"
You can also check all dependencies for this solution.
- This is an ongoing project - don't hesitate to contact us if you have any feedback and suggestions!
We would like to thank all CK partners for fruitful discussions and feedback!
Copyright 2020 cTuning foundation
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