GPUMap-Reference-Cited by-同舟云学术

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GPUMap

Published:2017-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th Workshop on Python for High-Performance and Scientific Computing
language:
Short-container-title:

Author:

Pachev Ivan¹,Lupo Chris¹

Affiliation:

1. California Polytechnic State University, San Luis Obispo, California, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3149869.3149875

Reference15 articles.

1. MapReduce

2. Gary Frost and Mohammed Ibrahim. 2015. Aparapi Documentation. Technical Report. AMD Open Source Zone. https://aparapi.github.io/http://developer.amd.com/tools-and-sdks/open-source/ Gary Frost and Mohammed Ibrahim. 2015. Aparapi Documentation. Technical Report. AMD Open Source Zone. https://aparapi.github.io/http://developer.amd.com/tools-and-sdks/open-source/

3. PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation

4. Numba

5. Y. Lin S. Okur and C. Radoi. 2012. Hadoop+Aparapi: Making heterogenous MapReduce programming easier. Technical Report. hgpu.org. http://www.semihokur.com/docs/okur2012-hadoop_aparapi.pdf Y. Lin S. Okur and C. Radoi. 2012. Hadoop+Aparapi: Making heterogenous MapReduce programming easier. Technical Report. hgpu.org. http://www.semihokur.com/docs/okur2012-hadoop_aparapi.pdf

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1. GPUMap;Proceedings of the 7th Workshop on Python for High-Performance and Scientific Computing;2017-11-12

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