This paper focus on the research of load balancing algorithm and parallel execution time prediction for parallel computing systems.
本文主要研究并行计算系统中的负载平衡算法与并行执行时间预测问题。
As the task size increased, so did the difference in execution time between remote parallel execution and local execution.
随着任务量的增加，远程并行执行和本地执行所需时间的差别也越来越明显。
This means that remote parallel execution consumed less time on larger tasks.
这就是说，当执行大型任务时，远程并行执行消耗的时间较少。
But passing messages between cores is much more time-consuming than executing computations on a given core, and it ends up eating into the gains afforded by parallel execution.
但是在处理器间传递信息比在某一处理器上进行运算要费时得多，这样下来，进行平行运算的优势就没有了。
In the multiprocessor systems, an efficient scheduling of a parallel program onto the processors that minimizes the entire execution time is vital.
在多处理器系统中，寻求一个有效的并行任务设计安排使得整个执行时间达到最小是至关重要的环节。
In the multiprocessor systems, an efficient scheduling of a parallel program onto the processors that minimizes the entire execution time is vital.
在多处理器系统中，寻求一个有效的并行任务设计安排使得整个执行时间达到最小是至关重要的环节。
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