Universal, customizable and multi-objective software and hardware autotuning

This project is hosted by the cTuning foundation (non-profit R&D organization)

compatibility automation License

Linux & MacOS: Travis Build Status Windows: AppVeyor Build status

This is a CK repository for the universal, customizable, multi-dimensional and multi-objective SW/HW benchmarking, autotuning and co-design with a unified JSON API across Linux, Android, MacOS and Windows-based machines.


This repository included CK modules, actions and components for unified

  • program compilation and execution (with multiple data sets)
  • crowd-benchmarking
  • statistical analysis of empirical results
  • plugin-based autotuning
  • automatic performance modeling
  • static and dynamic features extraction
  • learning to predict optimizations and run-time adaptation
  • reproducibility of experimental results

Further info:



Shared CK modules with actions


First install the CK framework as described here.

Then install this CK repository as follows:

 $ ck pull repo:ck-autotuning

You can now browse and reuse program workflows shared at the CK portal.

Please refer to the CK online guides including CK portable workflows and the autotuning example.


  • Issues with GLIBCXX_3.4.20/3.4.21 when using LLVM installed via CK: These sometimes occur on earlier Ubuntu versions (14.04) on ARM/x86. This can be fixed by upgrading to later versions of Ubuntu, or can sometimes be fixed by:
 $ sudo add-apt-repository ppa:ubuntu-toolchain-r/test
 $ sudo apt-get update
 $ sudo apt-get upgrade
 $ sudo apt-get dist-upgrade
  • Issues with libncursesw.so.6 (not found) on some older machines: It can be fixed by compiling and installing lib-ncurses with the support for wide characters. This can be done automatically via CK:
 $ ck install package:lib-ncurses-6.0-root

Questions and comments

Please feel free to get in touch with the CK community if you have any questions, suggestions and comments!

Ck Autotuning

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:

Ck Autotuning Info

⭐ Stars 52
🔗 Homepage codereef.ai
🔗 Source Code github.com
🕒 Last Update 10 months ago
🕒 Created 7 years ago
🐞 Open Issues 11
➗ Star-Issue Ratio 5
😎 Author ctuning