期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2015
卷号：12
期号：2
出版社：IJCSI Press
摘要：We present OMP2HMPP, a tool that, in a first step, automatically translates OpenMP code into various possible transformations of HMPP. In a second step OMP2HMPP executes all variants to obtain the performance and power consumption of each transformation. The resulting trade-off can be used to choose the more convenient version. After running the tool on a set of codes from the Polybench benchmark we show that the best automatic transformation is equivalent to a manual one done by an expert. Compared with original OpenMP code running in 2 quad-core processors we obtain an average speed-up of 31 and 5.86 factor in operations per watt.
关键词：Source to source compiler; GPGPU; HMPP; parallel computing; program understanding; compiler optimization.
