A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit

Author:

Petrovič Filip,Střelák David,Hozzová Jana,Ol’ha Jaroslav,Trembecký Richard,Benkner Siegfried,Filipovič Jiří

Funder

“la Caixa” Foundation

Horizon 2020

European Regional Development Fund

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference48 articles.

1. Autotuning GEMM kernels for the Fermi GPU;Kurzak;IEEE Trans. Parallel Distrib. Syst.,2012

2. Revisiting online autotuning for sparse-matrix vector multiplication kernels on next-generation architectures;Gonzalo,2017

3. A GPU acceleration of 3D Fourier reconstruction in Cryo-EM;Střelák;Int. J. High Perform. Comput. Appl.,2019

4. Autotuning in high-performance computing applications;Balaprakash;Proc. IEEE,2018

5. Opentuner: an extensible framework for program autotuning;Ansel,2014

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4. FAIR Sharing of Data in Autotuning Research (Vision Paper);Companion of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

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