而并行任务调度的一个主要目标是达到负载平衡，在执行过程中充分利用并行系统的资源。
A primary aim to parallel dispatch for tasks is to reach load balance, and take full advantage of the parallel systems' resource in running.
并行性是通过运行主线程为每一个任务调度执行的子线程而实现的，这样任务就会并发执行，而每一个线程是同步执行任务的。
Parallelism is introduced by running the main thread scheduling child threads for each task so that the tasks execute concurrently while each thread execute the task synchronously.
一个托管编程模型，支持数据并行处理，任务并行处理，并通过一个通用的工作调度器统一协调并行运行的硬件。
A managed programming model for data parallelism, task parallelism, and coordination on parallel hardware unified by a common work scheduler.
因为在单元测试中的并行任务通常很小同时也很少，在调度程序切换线程之前它们通常一直运行到结束，除非强迫它(也就是通过wait )。
Because concurrent tasks in unit tests are usually small and few, they usually run to completion before the scheduler switches the thread, unless it is forced to (say, by wait ).
任务调度策略对可用性和并行性影响极大。
The task scheduling strategy strongly affects availability & parallelism.
本文将对实时分布式计算机系统的可用性、并行性、任务调度策略及一些特殊问题进行探索性研究。
The purpose of this paper is to investigate the availability parallelism task scheduling strategy & some special problems.
同时，通过对多处理机任务之间的并行关系的分析，得到了一般最优调度的下界。
At the same time, through the analysis of the parallel relation among the multiprocessor parallel job, the low bound of the optimal schedule has been provided.
并行程序中的不确定性给任务调度带来了困难，采用动态调度的方法有时开销很大。
The nondeterminism in parallel programs brings many difficulties to the task scheduling in which the dynamic method has high overhead.
本文用TS方法解决最小化拖期任务数的并行多机调度问题，并同目前最好的启发式作了比较，大量实验表明了TS方法的有效性。
In this paper, we solve parallel machine minimizing the number of tardy jobs problem using ts, and compare it to the best heuristic found so far, computational results show its efficiency.
在并行自动化测试系统中，并发执行的多个测试程序会竞争有限的仪器资源，硬件资源的分配与任务调度是并行测试的一个关键问题。
In the parallel test System, the testing programs are to compete for instruments concurrently. Therefore, how to allocate instruments and schedule task is a key to parallel test.
任务调度问题是指根据一定的调度策略，把一组并行处理的任务按规定的时序分配到系统的多个处理机节点上，以期获得较好的系统执行性能。
Task scheduling aims at scheduling a set of partially ordered computational tasks onto a multiprocessor system by a given strategy in order to obtain a better system performance.
该算法适用于可并行任务，并在考虑到了任务集的截止期和资源因素基础上，加入了运行时间因素，达到了减少调度返回次数以及提高有效性的目的。
It takes processing time into account besides the deadline and resource requirement of the task sets in order to reduce scheduling backtracks and increase effectiveness.
研究三个并行处理器环境中，具有递减链约束的多处理器任务的调度问题，调度目标是最小化总处理时间，假设单项任务需单位处理时间。
This paper focuses on scheduling unit length multiprocessor tasks with de-creasing chain precedence constrains on three identical processors so as to minimize makespan.
在DDS模型的原始设置上进行扩展，给出了DDS并行模型并在该模型设置下研究带空间限制的任务调度问题。
Based on the original framework of DDS, we form the parallel model of DDS by adding the condition of space-constraint.
并行测试的任务优化调度是并行测试技术的核心问题及关键技术之一。
Optimized parallel test task scheduling is the core issue and one of the key technologies to the parallel test.
如何合理、有效地进行任务调度，将直接影响到系统的并行效率。
How to schedule the parallel tasks onto the processors will greatly influence the parallel computing performance of the applications.
如何合理、有效地进行任务调度，将直接影响到系统的并行效率。
How to schedule the parallel tasks onto the processors will greatly influence the parallel computing performance of the applications.
应用推荐