Application of Dynamic Allocation Task in Multi Processor Platform
- 10.2991/amsm-16.2016.67How to use a DOI?
- dynamic task allocation; multi processor cluster; hybrid scheduling
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.
- © 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/).
Cite this article
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 -