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...
[translate] aUnit 1 introduces data and task parallelism and emphasizes pleasing parallelization of independent loops. 单位1介绍数据和任务平行性并且强调独立圈的中意的parallelization。[translate]
Data Parallelism (Task Parallel Library) How to: Write a Simple Parallel.For Loop How to: Write a Simple Parallel.ForEach Loop How to: Stop or Break from a Parallel.For Loop How to: Write a Parallel.For Loop That Has Thread-Local Variables ...
Combining Data Parallelism and Task Parallelism for Efficient Performance on Hybrid CPU and GPU Systems | Aditya Deshpande | Algorithms, Compression, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 580, nVidia Quadro FX 3700, Package, Sorting, Sparse matrix, Tesla K20, Thesis ...
As a result, the control or task parallelism in an application cannot be expressed or exploited. The current work aims at integrating the notion of task parallelism and precedence relationships among constituting tasks to such high-level data parallel platforms for NOWs. Our model of integration ...
A methodology for the development and the support of massively parallel programs computing.Following the P3L methodology, the programmer has just to specify the kind of parallelism he is going to exploit (pipeline, farm, data, etc... M Danelutto,RD Meglio,S Orlando,... - 《Future Generation...
For the graphics processor we exploit data parallelism by off-loading the computationally expensive kernels to the accelerator while keeping the numeric semantics of the sequential case. 展开 关键词: Sparse linear systems Reconditioned Conjugate Gradient solver Task and data parallelism Multi-core ...
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 … ...
Much work has been done in the areas of and-parallelism and data-parallelism in Logic Programs. Such work has proceeded to a certain extent in an independent fashion. Both types of parallelism offer advantages and disadvantages. Traditional (and-) parallel models offer generality, being able to ...
Social sciences applications Profiling Optimization Task parallelism Data parallelism HPC Co-design CcNUMA Sorry, something went wrong. Please try again and make sure cookies are enabled Data availability Data will be made available on requestReferences...