Avenues for high performance computation on a PC

Yu Fai Fung; M. Fikret Ercan; Wai Leung Cheung; Gujit Singh

doi:10.1007/978-3-540-24709-8_26

Avenues for high performance computation on a PC

Yu Fai Fung
, M. Fikret Ercan
, Wai Leung Cheung
, Gujit Singh

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

Abstract

Modem microprocessors used in personal computers have built in parallel computing features. In general, these microprocessors support Single Instruction Multiple Data (SIMD) type parallel computing mechanism. Recently, dual-CPU systems are becoming more common and therefore, it is possible to combine the SIMD mechanism and the computing power that comes with two microprocessors to form a two-level parallel computing system. In this paper, we present combined utilization of two types of parallelism and demonstrate its performance on a computationally intensive image processing algorithm. Our results show that utilizing the bi-level parallel mechanism, a far superior speed-up can be achieved than those by using only two CPUs.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Antonio Lagana, Marina L. Gavrilova, Vipin Kumar, Youngsong Mun, C.J. Kenneth Tan, Osvaldo Gervasi
Publisher	Springer Verlag
Pages	246-251
Number of pages	6
ISBN (Print)	3540220569, 9783540220565
DOIs	https://doi.org/10.1007/978-3-540-24709-8_26
Publication status	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3044
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

More information

10.1007/978-3-540-24709-8_26

Cite this

Fung, Y. F., Fikret Ercan, M., Cheung, W. L., & Singh, G. (2004). Avenues for high performance computation on a PC. In A. Lagana, M. L. Gavrilova, V. Kumar, Y. Mun, C. J. Kenneth Tan, & O. Gervasi (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 246-251). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3044). Springer Verlag. https://doi.org/10.1007/978-3-540-24709-8_26

Fung, Yu Fai ; Fikret Ercan, M. ; Cheung, Wai Leung et al. / Avenues for high performance computation on a PC. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Antonio Lagana ; Marina L. Gavrilova ; Vipin Kumar ; Youngsong Mun ; C.J. Kenneth Tan ; Osvaldo Gervasi. Springer Verlag, 2004. pp. 246-251 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Modem microprocessors used in personal computers have built in parallel computing features. In general, these microprocessors support Single Instruction Multiple Data (SIMD) type parallel computing mechanism. Recently, dual-CPU systems are becoming more common and therefore, it is possible to combine the SIMD mechanism and the computing power that comes with two microprocessors to form a two-level parallel computing system. In this paper, we present combined utilization of two types of parallelism and demonstrate its performance on a computationally intensive image processing algorithm. Our results show that utilizing the bi-level parallel mechanism, a far superior speed-up can be achieved than those by using only two CPUs.",

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Fung, YF, Fikret Ercan, M, Cheung, WL & Singh, G 2004, Avenues for high performance computation on a PC. in A Lagana, ML Gavrilova, V Kumar, Y Mun, CJ Kenneth Tan & O Gervasi (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3044, Springer Verlag, pp. 246-251. https://doi.org/10.1007/978-3-540-24709-8_26

Avenues for high performance computation on a PC. / Fung, Yu Fai; Fikret Ercan, M.; Cheung, Wai Leung et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Antonio Lagana; Marina L. Gavrilova; Vipin Kumar; Youngsong Mun; C.J. Kenneth Tan; Osvaldo Gervasi. Springer Verlag, 2004. p. 246-251 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3044).

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

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Fung YF, Fikret Ercan M, Cheung WL, Singh G. Avenues for high performance computation on a PC. In Lagana A, Gavrilova ML, Kumar V, Mun Y, Kenneth Tan CJ, Gervasi O, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 246-251. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-24709-8_26

Avenues for high performance computation on a PC

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