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A Quantitative Comparison of PRAM based Emulated Shared Memory Architectures to Current Multicore CPUs and GPUs

Hansson, Erik, 1983- (author)
Linköpings universitet,Programvara och system,Tekniska högskolan,PELAB
Alnervik, Erik (author)
PELAB
Kessler, Christoph, 1966- (author)
Linköpings universitet,Programvara och system,Tekniska högskolan,PELAB
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Forsell, Martti (author)
VTT Technical Research Centre of Finland,Platform Architectures Team
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 (creator_code:org_t)
Lübeck, Germany : VDE Verlag GmbH, 2014
2014
English.
In: 27th International Conference on Architecture of Computing Systems (ARCS), 2014, ARCS Workshops: Proc. PASA-2014 11th Workshop on Parallel Systems and Algorithms, Lübeck, Germany. - Lübeck, Germany : VDE Verlag GmbH. - 9783800735792 ; , s. 27-33
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • The performance of current multicore CPUs and GPUs is limited in computations making frequent use of communication/synchronization between the subtasks executed in parallel. This is because the directory-based cache systems scale weakly and/or the cost of synchronization is high. The Emulated Shared Memory (ESM) architectures relying on multithreading and efficient synchronization mechanisms have been developed to solve these problems affecting both performance and programmability of current machines. In this paper, we compare preliminarily the performance of three hardware implemented ESM architectures with state-of-the-art multicore CPUs and GPUs. The benchmarks are selected to cover different patterns of parallel computation and therefore reveal the performance potential of ESM architectures with respect to current multicores.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Parallel computing
performance analysis
GPU
chip multiprocessor
shared memory

Publication and Content Type

ref (subject category)
kon (subject category)

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