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| Content Provider | Springer Nature Link |
|---|---|
| Author | Yang, XueJun Tang, Tao Wang, GuiBin Jia, Jia Xu, XinHai |
| Copyright Year | 2011 |
| Abstract | In light of GPUs’ powerful floating-point operation capacity, heterogeneous parallel systems incorporating general purpose CPUs and GPUs have become a highlight in the research field of high performance computing(HPC). However, due to the complexity of programming on GPUs, porting a large number of existing scientific computing applications to the heterogeneous parallel systems remains a big challenge. The OpenMP programming interface is widely adopted on multi-core CPUs in the field of scientific computing. To effectively inherit existing OpenMP applications and reduce the transplant cost, we extend OpenMP with a group of compiler directives, which explicitly divide tasks among the CPU and the GPU, and map time-consuming computing fragments to run on the GPU, thus dramatically simplifying the transplantation. We have designed and implemented MPtoStream, a compiler of the extended OpenMP for AMD’s stream processing GPUs. Our experimental results show that programming with the extended directives deviates from programming with OpenMP by less than 11% modification and achieves significant speedup ranging from 3.1 to 17.3 on a heterogeneous system, incorporating an Intel Xeon E5405 CPU and an AMD FireStream 9250 GPU, over the execution on the Xeon CPU alone. |
| Starting Page | 1961 |
| Ending Page | 1971 |
| Page Count | 11 |
| File Format | |
| ISSN | 1674733X |
| Journal | Science in China Series : Information Sciences |
| Volume Number | 55 |
| Issue Number | 9 |
| e-ISSN | 18691919 |
| Language | English |
| Publisher | SP Science China Press |
| Publisher Date | 2011-07-30 |
| Publisher Place | Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | GPGPU stream OpenMP compiler Information Systems and Communication Service |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |
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