Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment

Satoshi Ohshima; Kenji Kise; Takahiro Katagiri; Toshitsugu Yuba

doi:10.1007/978-3-540-71351-7_24

Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment

Satoshi Ohshima, Kenji Kise, Takahiro Katagiri, Toshitsugu Yuba

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

29 Citations (Scopus)

Abstract

GPUs for numerical computations are becoming an attractive alternative in research. In this paper, we propose a new parallel processing environment for matrix multiplications by using both CPUs and GPUs. The execution time of matrix multiplications can be decreased to 40.1% by our method, compared with using the fastest of either CPU only case or GPU only case. Our method performs well when matrix sizes are large.

Original language	English
Title of host publication	High Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers
Publisher	Springer Verlag
Pages	305-318
Number of pages	14
ISBN (Print)	9783540713500
DOIs	https://doi.org/10.1007/978-3-540-71351-7_24
Publication status	Published - 2007
Externally published	Yes
Event	7th International Meeting on High-Performance Computing for Computational Science, VECPAR 2006 - Rio de Janeiro, Brazil Duration: Jun 10 2006 → Jun 13 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4395 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th International Meeting on High-Performance Computing for Computational Science, VECPAR 2006
Country/Territory	Brazil
City	Rio de Janeiro
Period	6/10/06 → 6/13/06

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-71351-7_24

Cite this

Ohshima, S., Kise, K., Katagiri, T., & Yuba, T. (2007). Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment. In High Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers (pp. 305-318). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4395 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-71351-7_24

Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment. / Ohshima, Satoshi; Kise, Kenji; Katagiri, Takahiro et al.
High Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers. Springer Verlag, 2007. p. 305-318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4395 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ohshima, S, Kise, K, Katagiri, T & Yuba, T 2007, Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment. in High Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4395 LNCS, Springer Verlag, pp. 305-318, 7th International Meeting on High-Performance Computing for Computational Science, VECPAR 2006, Rio de Janeiro, Brazil, 6/10/06. https://doi.org/10.1007/978-3-540-71351-7_24

Ohshima S, Kise K, Katagiri T, Yuba T. Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment. In High Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers. Springer Verlag. 2007. p. 305-318. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-71351-7_24

Ohshima, Satoshi ; Kise, Kenji ; Katagiri, Takahiro et al. / Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment. High Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers. Springer Verlag, 2007. pp. 305-318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{9be565d0ed6c4cc7b6f5f9fa828297e0,

title = "Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment",

abstract = "GPUs for numerical computations are becoming an attractive alternative in research. In this paper, we propose a new parallel processing environment for matrix multiplications by using both CPUs and GPUs. The execution time of matrix multiplications can be decreased to 40.1% by our method, compared with using the fastest of either CPU only case or GPU only case. Our method performs well when matrix sizes are large.",

author = "Satoshi Ohshima and Kenji Kise and Takahiro Katagiri and Toshitsugu Yuba",

year = "2007",

doi = "10.1007/978-3-540-71351-7_24",

language = "English",

isbn = "9783540713500",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "305--318",

booktitle = "High Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers",

address = "Germany",

note = "7th International Meeting on High-Performance Computing for Computational Science, VECPAR 2006 ; Conference date: 10-06-2006 Through 13-06-2006",

}

TY - GEN

T1 - Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment

AU - Ohshima, Satoshi

AU - Kise, Kenji

AU - Katagiri, Takahiro

AU - Yuba, Toshitsugu

PY - 2007

Y1 - 2007

N2 - GPUs for numerical computations are becoming an attractive alternative in research. In this paper, we propose a new parallel processing environment for matrix multiplications by using both CPUs and GPUs. The execution time of matrix multiplications can be decreased to 40.1% by our method, compared with using the fastest of either CPU only case or GPU only case. Our method performs well when matrix sizes are large.

AB - GPUs for numerical computations are becoming an attractive alternative in research. In this paper, we propose a new parallel processing environment for matrix multiplications by using both CPUs and GPUs. The execution time of matrix multiplications can be decreased to 40.1% by our method, compared with using the fastest of either CPU only case or GPU only case. Our method performs well when matrix sizes are large.

UR - http://www.scopus.com/inward/record.url?scp=38049125516&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=38049125516&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-71351-7_24

DO - 10.1007/978-3-540-71351-7_24

M3 - Conference contribution

AN - SCOPUS:38049125516

SN - 9783540713500

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 305

EP - 318

BT - High Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers

PB - Springer Verlag

T2 - 7th International Meeting on High-Performance Computing for Computational Science, VECPAR 2006

Y2 - 10 June 2006 through 13 June 2006

ER -

Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this