Title :
Hybrid Embarrassingly Parallel on heterogeneous platform
Author :
Gong, Chunye ; Liu, Jie ; Qin, Jin ; Hu, Qingfeng ; Gong, Zhenghu
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
The Embarrassingly Parallel (EP) is one kernel benchmark of NAS Parallel Benchmarks (NPB). EP generates pairs of Gaussian Random Deviates (GRDs) of large random numbers which produced by Linear Congruential Generator (LCG). In this paper, the Hybrid EP is efficient implemented on CPU/GPU heterogeneous platform. Experimental results show that the Hybrid EP is 11.98 times faster than equivalent multicore CPU and outperforms equivalent GPU by 7.52%.
Keywords :
benchmark testing; computer graphic equipment; coprocessors; parallel architectures; random number generation; CPU-GPU heterogeneous platform; Gaussian random deviation; NAS parallel benchmark; equivalent multicore CPU; hybrid EP; hybrid embarrassingly parallel; kernel benchmark; linear congruential generator; random numbers; Acceleration; Europe; Graphics processing unit; Laboratories; Optimization; GPU; Hybrid EP; NPB Embarrassingly Parallel (EP); heterogeneous platform;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5564662
