Autotuning of OpenCL Kernels with Global Optimizations-Reference-Cited by-同舟云学术

Autotuning of OpenCL Kernels with Global Optimizations

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems - ANDARE '17
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Author:

Filipovič Jiří¹,Petrovič Filip²,Benkner Siegfried³

Affiliation:

1. Masaryk University, University of Vienna

2. Masaryk University

3. University of Vienna

Publisher

ACM Press

Reference21 articles.

1. E. Bajrovic and S. Benkner. Automatic performance tuning of pipeline patterns for heterogeneous parallel architectures. In 2014 International Conference on Parallel and Distributed Processing, Techniques and Applications, 2014.

2. E. Bajrovic, Mijakovic R., J. Dokulil, S. Benkner, and M. Gerndt. Tuning OpenCL applications with the periscope tuning framework. In 2016 49th Hawaii International Conference on System Sciences (HICSS), 2016.

3. J. Enmyren, U. Dastgeer, and C. W. Kessler. Towards a tunable multi-backend skeleton programming framework for multi-GPU systems. In MCC-3: Swedish Woekshop on Multicore Computing, 2010.

4. T. L. Falch and A. C. Elster. Machine learning based auto-tuning for enhanced OpenCL performance portability. In Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015.

5. J. Filipovič, M. Madzin, J. Fousek, and L. Matyska. Optimizing CUDA code by kernel fusion: application on BLAS. The Journal of Supercomputing, 2015.

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