Title :
Task Partition Comparison between Multi-core System and GPU
Author :
Zheng, Weimin ; Wang, Bo ; Wu, Yongwei
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
Parallel computing becomes more and more popular and the scale of software improves accordingly. A large application is made up of many small tasks. Some statistics indicate that some tasks of 80% software can support parallel execution. The difficulties are how to decompose one application into many tasks and exploit the parallelization among these tasks. In this paper, we compare some types of parallel programs based on multi-core system and GPU. From the experiment results, some advice is given about how to decompose one application into different tasks based on different computing architecture.
Keywords :
computer graphics; coprocessors; multiprocessing systems; parallel processing; GPU; computing architecture; multi-core system; parallel computing; task partition comparison; Computational modeling; Graphics processing unit; Instruction sets; Multicore processing; Parallel processing; Programming; parallel; task decompose; task partition;
Conference_Titel :
ChinaGrid Conference (ChinaGrid), 2010 Fifth Annual
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-7543-8
Electronic_ISBN :
978-1-4244-7544-5
DOI :
10.1109/ChinaGrid.2010.17
