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An easy to use CUDA/OpenCL kernel tuner in Python

copied from cf-staging / kernel-tuner

Installers

  • noarch v1.0

conda install

To install this package run one of the following:
conda install conda-forge::kernel-tuner

Description

Kernel Tuner simplifies the software development of optimized and auto-tuned GPU programs, by enabling Python-based unit testing of GPU code and making it easy to develop scripts for auto-tuning GPU kernels. This also means no extensive changes and no new dependencies are required in the kernel code. The kernels can still be compiled and used as normal from any host programming language.

Kernel Tuner provides a comprehensive solution for auto-tuning GPU programs, supporting auto-tuning of user-defined parameters in both host and device code, supporting output verification of all benchmarked kernels during tuning, as well as many optimization strategies to speed up the tuning process.


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