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。
This paper focus on the research of load balancing algorithm and parallel execution time prediction for parallel computing systems.
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.
通过实验证明，改进后的并行蚁群算法程序执行时间明显缩短，执行效率显著提高。
The experiment proves that the improved method makes the time of program execution shorter significantly and the efficiency higher observably when solve large scale TSP.
如何将应用程序中的任务分配到处理机上，使并行程序的执行时间最小化就成了一个重要的问题。
Parallel algorithms must be solved on distributed systems. The tasks assignment algorithms is important on parallel computing system.
如何将应用程序中的任务分配到处理机上，使并行程序的执行时间最小化就成了一个重要的问题。
Parallel algorithms must be solved on distributed systems. The tasks assignment algorithms is important on parallel computing system.
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