[PDF][PDF] Comparative analysis of OpenACC, OpenMP and CUDA using sequential and parallel algorithms
CL Ledur, CM Zeve, JC dos Anjos - 11th Workshop on parallel …, 2013 - researchgate.net
CL Ledur, CM Zeve, JC dos Anjos
11th Workshop on parallel and distributed processing (WSPPD), 2013•researchgate.netWith the increased processing required in the last years, and the search for devices with
better performance, started in computing a need to parallelize processing, making it possible
to support the performance of software and algorithms requiring high processing pattern. It's
possible to use the processing power of devices like the GPU to run parallel software with a
better execution time. In this work, will be evaluated the performance of three programming
parallel models using CUDA, OpenMP and OpenACC with three different applications.
better performance, started in computing a need to parallelize processing, making it possible
to support the performance of software and algorithms requiring high processing pattern. It's
possible to use the processing power of devices like the GPU to run parallel software with a
better execution time. In this work, will be evaluated the performance of three programming
parallel models using CUDA, OpenMP and OpenACC with three different applications.
Abstract
With the increased processing required in the last years, and the search for devices with better performance, started in computing a need to parallelize processing, making it possible to support the performance of software and algorithms requiring high processing pattern. It’s possible to use the processing power of devices like the GPU to run parallel software with a better execution time. In this work, will be evaluated the performance of three programming parallel models using CUDA, OpenMP and OpenACC with three different applications.
researchgate.net
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