An Early Performance Comparison of CUDA and OpenACC-Reference-Cited by-同舟云学术

An Early Performance Comparison of CUDA and OpenACC

Published:2018 Issue: Volume:208 Page:05002
ISSN:2261-236X
Container-title:MATEC Web of Conferences
language:
Short-container-title:MATEC Web Conf.

Author:

Li Xuechao,Shih Po-Chou

Abstract

This paper presents a performance comparison between CUDA and OpenACC. The performance analysis focuses on programming models and underlying compilers. In addition, we proposed a Performance Ratio of Data Sensitivity (PRoDS) metric to objectively compare traditional subjective performances: how sensitive OpenACC and CUDA implementations are to change in data size. The results show that in terms of kernel running time, the OpenACC performance is lower than the CUDA performance because PGI compiler needs to translate OpenACC kernels into object code while CUDA codes can be directly run. Besides, OpenACC programs are more sensitive to data changes than the equivalent CUDA programs with optimizations, but CUDA is more sensitive to data changes than OpenACC if there are no optimizations. Overall we found that OpenACC is a reliable programming model and a good alternative to CUDA for accelerator devices.

Publisher

EDP Sciences

Subject

General Medicine

Link

https://www.matec-conferences.org/10.1051/matecconf/201820805002/pdf

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