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Understanding the P...
Understanding the Performance of Concurrent Data Structures on Graphics Processors
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- Cederman, Daniel, 1981 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Chatterjee, Bapi, 1982 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Tsigas, Philippas, 1967 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- ISBN 9783642328190
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2012
- 2012
- Engelska.
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Ingår i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Berlin, Heidelberg : Springer Berlin Heidelberg. - 1611-3349 .- 0302-9743. - 9783642328190 ; 7484/2012, s. 883-894
- Relaterad länk:
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http://dx.doi.org/10...
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Abstract
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- In this paper we revisit the design of concurrent data structures -- specifically queues -- and examine their performance portabilitywith regard to the move from conventional CPUs to graphics processors. We have looked at both lock-based and lock-free algorithmsand have, for comparison, implemented and optimized the same algorithms on both graphics processors and multi-core CPUs.Particular interest has been paid to study the difference between the old Tesla and the new Fermi and Kepler architecturesin this context.We provide a comprehensive evaluation and analysis of our implementations on all examined platforms.Our results indicate that the queues are in general performance portable, but that platform specific optimizations are possibleto increase performance. The Fermi and Kepler GPUs, with optimized atomic operations, are observed to provide excellent scalabilityfor both lock-based and lock-free queues.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- cuda
- gpgpu
- queues
- mpmc
- spsc
- data structures
- performance portability
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