Design Patterns for Scientific Computations on Sparse Matrices-Reference-Cited by-同舟云学术

Design Patterns for Scientific Computations on Sparse Matrices

Published:2012 Issue: Volume: Page:367-376
ISSN:0302-9743
Container-title:Euro-Par 2011: Parallel Processing Workshops
language:
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Author:

Barbieri Davide,Cardellini Valeria,Filippone Salvatore,Rouson Damian

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-29737-3_41

Reference16 articles.

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2. Barbieri, D., Cardellini, V., Filippone, S.: Generalized GEMM applications on GPGPUs: Experiments and applications. In: ParCo 2009. IOS Press (2009)

3. Barrachina, S., Castillo, M., Igual, F.D., Mayo, R., Quintana-Ortí, E.S., Quintana-Ortí, G.: Exploiting the capabilities of modern gpus for dense matrix computations. Concurr. Comput.: Pract. Exper. 21, 2457–2477 (2009)

4. Baskaran, M.M., Bordawekar, R.: Optimizing sparse matrix-vector multiplication on GPUs. Tech. Rep. RC24704, IBM Research (April 2009)

5. Bell, N., Garland, M.: Implementing sparse matrix-vector multiplication on throughput-oriented processors. In: Supercomputing 2009. ACM (2009)

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