A compressive sensing algorithm for many-core architectures

A. Borghi; J. Darbon; S. Peyronnet; T. F. Chan; S. Osher

doi:10.1007/978-3-642-17274-8_66

A compressive sensing algorithm for many-core architectures

A. Borghi^*, J. Darbon, S. Peyronnet, T. F. Chan, S. Osher

^*Corresponding author for this work

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

1 Scopus citations

Abstract

This paper describes a parallel algorithm for solving the l ¹-compressive sensing problem. Its design takes advantage of shared memory, vectorized, parallel and many-core microprocessors such as Graphics Processing Units (GPUs) and standard vectorized multi-core processors (e.g. quad-core CPUs). Experiments are conducted on these architectures, showing evidence of the efficiency of our approach.

Original language	English (US)
Title of host publication	Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
Publisher	Springer Verlag
Pages	678-686
Number of pages	9
Edition	PART 2
ISBN (Print)	3642172733, 9783642172731
DOIs	https://doi.org/10.1007/978-3-642-17274-8_66
State	Published - 2010
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6454 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-642-17274-8_66

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Borghi, A., Darbon, J., Peyronnet, S., Chan, T. F., & Osher, S. (2010). A compressive sensing algorithm for many-core architectures. In Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings (PART 2 ed., pp. 678-686). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6454 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-642-17274-8_66

Borghi, A. ; Darbon, J. ; Peyronnet, S. et al. / A compressive sensing algorithm for many-core architectures. Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 2. ed. Springer Verlag, 2010. pp. 678-686 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "A compressive sensing algorithm for many-core architectures",

abstract = "This paper describes a parallel algorithm for solving the l 1-compressive sensing problem. Its design takes advantage of shared memory, vectorized, parallel and many-core microprocessors such as Graphics Processing Units (GPUs) and standard vectorized multi-core processors (e.g. quad-core CPUs). Experiments are conducted on these architectures, showing evidence of the efficiency of our approach.",

author = "A. Borghi and J. Darbon and S. Peyronnet and Chan, {T. F.} and S. Osher",

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Borghi, A, Darbon, J, Peyronnet, S, Chan, TF & Osher, S 2010, A compressive sensing algorithm for many-core architectures. in Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6454 LNCS, Springer Verlag, pp. 678-686. https://doi.org/10.1007/978-3-642-17274-8_66

A compressive sensing algorithm for many-core architectures. / Borghi, A.; Darbon, J.; Peyronnet, S. et al.
Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 2. ed. Springer Verlag, 2010. p. 678-686 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6454 LNCS, No. PART 2).

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

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AU - Chan, T. F.

AU - Osher, S.

PY - 2010

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AB - This paper describes a parallel algorithm for solving the l 1-compressive sensing problem. Its design takes advantage of shared memory, vectorized, parallel and many-core microprocessors such as Graphics Processing Units (GPUs) and standard vectorized multi-core processors (e.g. quad-core CPUs). Experiments are conducted on these architectures, showing evidence of the efficiency of our approach.

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SN - 9783642172731

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

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BT - Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings

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Borghi A, Darbon J, Peyronnet S, Chan TF, Osher S. A compressive sensing algorithm for many-core architectures. In Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 2 ed. Springer Verlag. 2010. p. 678-686. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-17274-8_66

A compressive sensing algorithm for many-core architectures

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