Incremental Auto-Tuning for Hybrid Parallelization Using OpenCL
Author:
Affiliation:
1. Konan University,Faculty of Informatics and Intelligence,Kobe,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10348627/10348628/10348727.pdf?arnumber=10348727
Reference5 articles.
1. Autotuning OpenCL workgroup size for stencil patterns;Cummins,2016
2. A Strategy for Automatic Performance Tuning of Stencil Computations on GPUs
3. Tuning basic Linear Algebra Routines for Hybrid CPU+GPU Platforms
4. On optimization techniques for the matrix multiplication on hybrid CPU+GPU platforms;Gimeezz;Annals of Multicore and GPU Programming,2015
5. Evaluation of on-the-fly auto-tuning of hybrid parallelization on processors with integrated graphics
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