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auto/crowd-tune OpenCL-based CLBlast (GFLOPs)

module:experiment.tune.opencl.clblast (v3.0.0)
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2017-05-23
Source: GitHub
cID: 032630d041b4fd8a:6c5af99f945739bd

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Description  

This is our attempt to share automation actions from scientific research projects as unified Python modules with a common CLI and Python API to help researchers and practitioners reuse best practices. Our on-going project is to make the onboarding process as simple as possible via this platform. Please check this CK white paper and don't hesitate to contact us if you have suggestions or feedback!
  • Automation framework: CK
  • Workflow: CLBlast crowd-tuning workflow
  • Development repository: ck-ml
  • Source: GitHub
  • How to get the stable version from this portal via the CK client:
    pip install cbench
    cb download module:experiment.tune.opencl.clblast --version=3.0.0 --all
    ck help experiment.tune.opencl.clblast
  • How to get the development version:
    pip install ck
    ck pull repo:ck-ml
    ck help experiment.tune.opencl.clblast
  • CK automation actions (CLI with the Python CK API and JSON IO):

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