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Performance evaluation of cauchy reed-solomon coding on multicore systems
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We have evaluated the performance of Cauchy Reed-Solomon (CRS) encoding of data blocks with sizes 32 kB to 256 MB. The performance measurements are done on an Intel processor with 4 cores and integrated graphics support. We also used an AMD graphics card in our performance evaluations. Three versions of the CRS algorithm are developed: one sequential version and two OpenCL versions. The OpenCL versions have been targeted to the CPU, the integrated GPU and the AMD graphics card. The measurements show that the graphics card performs better than CPU for large buffers. However, the highest throughput is obtained for one of the CPU versions and moderate buffer sizes (around 1 MB).

Place, publisher, year, edition, pages
Tokyo: IEEE , 2013.
Keyword [en]
Cauchy Reed-Solomon, Erasure coding, Manycore, Multicore, OpenCL
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-6737DOI: 10.1109/MCSoC.2013.27Local ID: oai:bth.se:forskinfoAF27FA4C77BC2718C1257CBA002E8769OAI: oai:DiVA.org:bth-6737DiVA: diva2:834270
Conference
7th International Symposium on Embedded Multicore/Manycore System-on-Chip (MCSoC)
Available from: 2014-04-14 Created: 2014-04-14 Last updated: 2017-03-16Bibliographically approved

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