Title :
Performance Evaluation of Cauchy Reed-Solomon Coding on Multicore Systems
Author :
Karslsson, Tim ; Lundberg, Lars
Author_Institution :
Sch. of Comput., Blekinge Inst. of Technol., Karlskrona, Sweden
Abstract :
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).
Keywords :
Reed-Solomon codes; buffer storage; data handling; encoding; graphics processing units; multiprocessing systems; performance evaluation; AMD graphics card; CPU; CRS algorithm; CRS encoding; Cauchy Reed-Solomon coding; Intel processor; OpenCL version; buffer size; data blocks; integrated graphics support; multicore systems; performance evaluation; performance measurement; sequential version; Central Processing Unit; Encoding; Graphics processing units; Kernel; Reed-Solomon codes; Size measurement; Throughput; Cauchy Reed-Solomon; OpenCL; erasure coding; manycore; multicore;
Conference_Titel :
Embedded Multicore Socs (MCSoC), 2013 IEEE 7th International Symposium on
Conference_Location :
Tokyo
DOI :
10.1109/MCSoC.2013.27