Fast Conjugate Gradients with Multiple GPUs-Reference-Cited by-同舟云学术

Fast Conjugate Gradients with Multiple GPUs

Published:2009 Issue: Volume: Page:893-903
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Cevahir Ali,Nukada Akira,Matsuoka Satoshi

Publisher

Springer Berlin Heidelberg

Link

https://link.springer.com/content/pdf/10.1007/978-3-642-01970-8_90

Reference18 articles.

1. ATI CTM Guide Technical Reference Manual. Advanced Micro Devices, Inc. (2006)

2. NVIDIA CUDA Compute Unified Device Architecture Programming Guide. NVIDIA Corporation (2007)

3. University of Florida Sparse Matrix Collection, http://www.cise.ufl.edu/research/sparse/matrices/

4. Bolz, J., Farmer, I., Grinspun, E., Schröder, P.: Sparse Matrix Solvers on the GPU: Conjugate Gradients and Multigrid. ACM Transactions on Graphics (2003)

5. Buatois, L., Caumon, G., Lévy, B.: Concurrent Number Cruncher: A GPU Implementation of a General Sparse Linear Solver. International Journal of Parallel, Emergent and Distributed Systems (to appear)

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