Title :
A scheduling algorithm for GPU-attached multicore hybrid systems
Author :
Lin, Cho-Chin ; Lai, Chien-Chen
Author_Institution :
Dept. of Electron. Eng., Nat. Ilan Univ., Yilan, Taiwan
Abstract :
A complex task always has a tremendous computation need and it progresses by alternately performing work segments of different computation characteristics. H system is a GPU-attached multicore computer which emerges the potential of meeting the computation need of a complex task. In this paper, an algorithm has been proposed for scheduling complex tasks to H system. Our algorithm assigns priorities to complex tasks before mapping them to the cores of H system. The simulation has demonstrated that our algorithm is effective for scheduling complex tasks to H system under various numbers of cores.
Keywords :
computer graphic equipment; coprocessors; multiprocessing systems; scheduling; GPU-attached multicore computer; GPU-attached multicore hybrid system; H system; graphics processing unit; scheduling algorithm; Computational modeling; Graphics processing unit; Kernel; Multicore processing; Performance evaluation; Scheduling; Scheduling algorithm;
Conference_Titel :
Information Science and Service Science (NISS), 2011 5th International Conference on New Trends in
Conference_Location :
Macao
Print_ISBN :
978-1-4577-0665-3
