Multi-dimensional Homomorphisms and Their Implementation in OpenCL-Reference-Cited by-同舟云学术

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Multi-dimensional Homomorphisms and Their Implementation in OpenCL

Published:2017-05-08 Issue:1 Volume:46 Page:101-119
ISSN:0885-7458
Container-title:International Journal of Parallel Programming
language:en
Short-container-title:Int J Parallel Prog

Author:

Rasch Ari^ORCID,Gorlatch Sergei

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s10766-017-0508-z/fulltext.html

Reference23 articles.

1. Aldinucci, M., Danelutto, M., Drocco, M., Kilpatrick, P., Pezzi, G.P., Torquati, M.: The loop-of-stencil-reduce paradigm. In: Trustcom/BigDataSE/ISPA, 2015 IEEE, vol. 3, pp. 172–177. IEEE (2015)

2. Ansel, J., Kamil, S., Veeramachaneni, K., Ragan-Kelley, J., Bosboom, J., O’Reilly, U.M., Amarasinghe, S.: OpenTuner: an extensible framework for program autotuning. In: Proceedings of the 23rd International Conference on Parallel Architectures and Compilation, pp. 303–316. ACM (2014)

3. Cedric Nugteren: CLBlast. https://github.com/CNugteren/CLBlast (2017)

4. Emoto, K., Matsuzaki, K., Hu, Z., Takeichi, M.: Surrounding theorem: developing parallel programs for matrix-convolutions. In: Euro-Par 2006 Parallel Processing, pp. 605–614. Springer (2006)

5. Enmyren, J., Kessler, C.W.: SkePU: A multi-backend skeleton programming library for multi-GPU systems. In: Proceedings of the Fourth International Workshop on High-Level Parallel Programming and Applications, pp. 5–14. ACM (2010)

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1. Efficient Auto-Tuning of Parallel Programs with Interdependent Tuning Parameters via Auto-Tuning Framework (ATF);ACM Transactions on Architecture and Code Optimization;2021-03-31

2. Performance, portability, and productivity for data-parallel applications on multi- and many-core architectures;Proceedings Companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity;2019-10-20

3. Generating Portable High-Performance Code via Multi-Dimensional Homomorphisms;2019 28th International Conference on Parallel Architectures and Compilation Techniques (PACT);2019-09

4. High-performance probabilistic record linkage via multi-dimensional homomorphisms;Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing;2019-04-08

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