Application of Dynamic Allocation Task in Multi Processor Platform

DOI

10.2991/amsm-16.2016.67How to use a DOI?

Keywords

dynamic task allocation; multi processor cluster; hybrid scheduling

Abstract

Traditional multi GPU processor cluster task scheduling and allocation method uses the time gap allocation method does not consider each task execution requirements and each computer node of actual operation ability, the overall efficiency of the implementation. Proposed a hybrid scheduling multi GPU processor platform dynamic task allocation method, using multi processor simulation of multiple computing nodes in a computer system, for different tasks, task computation demand and allocation according to the computer's actual operation ability, the hybrid task scheduling, the system has good robustness and experimental tests were conducted using a set of practical tasks. The results show that using mixed task, and realize the dynamic task allocation method, task execution time is greatly reduced, with good efficiency improvement results.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhiwen Yang
AU  - Pingzhen Zhou
PY  - 2016/05
DA  - 2016/05
TI  - Application of Dynamic Allocation Task in Multi Processor Platform
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 302
EP  - 305
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.67
DO  - 10.2991/amsm-16.2016.67
ID  - Yang2016/05
ER  -