Data Parallelism的基础:针对数据重新组织计算,目的是并行地执行独立的计算,以实现快速计算的效果。 Data Parallelism 与 Task Parallelism: 任务并行通常是基于目标任务的分解。 举个例子:分子动力学模拟中,任务列表包括振动力,旋转力,非成键力的相邻识别等等(这些是机翻,我没写过) 个人理解: 数据并行就是在同一时刻...
For data parallelism this increase is roughly in proportion to increases in dataset size; (b)If a MapReduce implementation is used as part of an ILP system, then benefits for data parallelism can only be expected above some minimal dataset size, and for task parallelism can only be expected ...
Data parallelism refers to scenarios in which the same operation is performed concurrently (that is, in parallel) on elements in a source collection or array. Data parallelism with imperative syntax is supported by several overloads of the For and ForEach methods in the System.Threading.Tasks....
Read how the Task Parallel Library (TPL) supports data parallelism to do the same operation concurrently on a source collection or array's elements in .NET.
(转)Net4.0 Parallel编程 Data Parallelism Thread-Local Variables 首先我们来看下线程局部变量,是的我们也许一直在想我们如何去定义一个线程局部变量呢。先看段顺序执行的代码: 01.[TestMethod()] 02.publicvoidNormalSequenceTest() 03.{ 04.int[] nums = Enumerable.Range(0, 1000000).ToArray();...
数据并行(data parallelism)指多个不同的数据同时被相同的指令、指令集或者算法处理。这与GPU的并行概念是相同的。 book.51cto.com|基于19个网页 2. 数据并行化 同时,这也是数据并行化(data parallelism)技术的一个标准应用。对于并行循环来说,决定它并行度的通常不是代码,而是 … ...
Data parallelism is a form of parallelization which relies on splitting the computation by subdividing data across multiple processors in parallel computing environments. A data parallel algorithm focuses on distributing the data across different parallel computing nodes, in contrast to task parallelism whic...
Parallelism exploration assembly kit. C toolkit to experiment with task- and data-parallelism. - bjoernknafla/peak
It is important for anyone writing parallel programs to understand the differences between data and task parallelism and to be able to recognize them when they see them. The type of parallelism involved with your algorithm can have drastic implications on how it can be implemented, both...
, expressive power and efficiency for irregular, dynamic and interactive applications, as well as for complex combinations of task and data parallelism. ... M Vanneschi - 《Parallel Computing》 被引量: 374发表: 2002年 Task Parallelism in a High Performance Fortran Framework Exploiting both data ...