High efficient task scheduling algorithms can greatly influence the performance of reconfigurable systems.
高效的任务调度算法对可重构系统的性能有极大的影响。
Task matching and scheduling is a key technology of distributed system, and the problem is being resolved with genetic algorithms these years.
任务分配与调度是分布式系统中的关键问题，应用遗传算法来解决这一问题是近年来出现的新思路。
The present scheduling algorithms are mostly based on task duplication, and the dependence between the predecessor tasks and successor tasks is not well taken into account.
目前的调度算法大多是基于任务复制的，没有充分考虑前驱任务与其后继任务间的相关性。
This paper describes how to carry out task mapping and scheduling in heterogeneous computing system (HCS) using list scheduling algorithms.
研究了在异构计算系统(HCS)中利用表调度式算法进行任务映射与调度。
For multiple task sets, the algorithms based on hybrid strategy obviously improve the scheduling performance.
在多任务集计算环境下，基于混合调度策略的算法能够明显改进调度性能。
Secondly, the scheduling algorithms of the periodic task of NCS are studied.
其次，研究了网络化控制系统周期性任务的调度算法。
Static task scheduling can be implemented by hand or by algorithms.
采用调度算法自动地将任务分配给处理机。
Static task scheduling can be implemented by hand or by algorithms.
采用调度算法自动地将任务分配给处理机。
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