2026-04-27T21:46:38Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/291312021-06-23T11:18:25Zcom_10324_1165com_10324_931com_10324_894col_10324_1337
UVaDOC
author
Barba Gutiérrez, Daniel
author
González Escribano, Arturo
author
Llanos Ferraris, Diego Rafael
2018-03-17T16:19:10Z
2018-03-17T16:19:10Z
2016
ICA3PP 2016. Workshops (TAPEMS). Granada (Spain), 2016
http://uvadoc.uva.es/handle/10324/29131
10.1007/978-3-319-49956-7_7
OpenACC has been on development for a few years now. The OpenACC 2.5 specification was recently made public and there are some initiatives for developing full implementations of the standard to make use of accelerator capabilities. There is much to be done yet, but currently, OpenACC for GPUs is reaching a good maturity level in various implementations of the standard, using CUDA and OpenCL as backends. Nvidia is investing in this project and they have released an OpenACC Toolkit, including the PGI Compiler. There are, however, more developments out there. In this work, we analyze different available OpenACC compilers that have been developed by companies or universities during the last years. We check their performance and maturity, keeping in mind that OpenACC is designed to be used without extensive knowledge about parallel programming. Our results show that the compilers are on their way to a reasonable maturity, presenting different strengths and weaknesses.
eng
Attribution 4.0 International
Comparative Analysis of OpenACC Compilers
info:eu-repo/semantics/conferenceObject
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URL
https://uvadoc.uva.es/bitstream/10324/29131/1/comp_analysis.pdf
File
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comp_analysis.pdf