该GPU是利用车辆的数据并行。
在此基础上给出了数据并行卷积计算算法；
On the basis of the above, a data parallel algorithm of convolution calculation is proposed.
这种技术称为SIMD(单指令，多数据)或数据并行。
This is known as SIMD (single instruction, multiple data), or data parallelism.
显卡是目前最好的数据并行处理引擎，我们可用。
Graphics CARDS are currently the best data parallel processing engines we have available.
给出了实现1 6位数据并行通讯的接口原理图。
It presents the principle chart of the interface for 16 bits parallel data communication.
数据并行与任务并行的结合可以很好地解决这些问题。
Integraing data parallel and task parallel can solve these problems.
Accelerator非常适合编写模板风格的数据并行处理程序。
Accelerator is quite well suited for writing stencil-style data parallel programs.
几何操作反向映射的零阶内插与一阶内插的数据并行实现方法；
Then, the data parallel implementation scheme of zero-order interpolation and first-order interpolation of backward mapping are discussed.
在我的一篇文章中，我将讨论势在必行数据并行而紧迫的任务并行。
In my next article, I will discuss Imperative Data Parallelism and Imperative Task Parallelism.
为给数据并行应用选择适合的网格资源，文章给出一个伪机群的想法。
To select suitable grid resource for a data parallel application, an idea of pseudo-cluster is introduced.
作为并行处理的重要分枝，数据并行被广泛地应用于科学和工程计算中。
Being an important ramification of parallel processing, data parallel is widely used in scientific and technical computation.
这是所有除了书面仁(数据并行功能)，实际使用它们的计划，并有益的工作。
This is all in addition to writing kernels (data parallel functions) and actually using them in a program that does useful work.
论文的研究工作着眼于分片式流处理器的数据并行存储系统的分析、设计和实现。
This dissertation focuses on the analysis, design and implementation of data-parallel memory system for Tiled Stream Processor.
根据数据并行的思想，提出了在时序预测中并行训练神经网络的模型，以提高训练速度。
Based on the idea of data parallelism, a parallel training model for RBF (radial basis function) neural network in time-series prediction to improve the training speed is proposed.
DPHL语言是一种数据并行高层建模语言，用于在算法层次上描述应用问题求解步骤。
DPHL is a kind of data parallel high level modeling language, with which users can describe a problem solving process on an algorithmic level.
DVM系统是一个基于数据并行的并行程序模型，因其良好的特性而受到越来越多的关注。
As a kind of data paralleling model, DVM system gets more and more concern for it's excellent characteristic.
即使你知道最好最快的算法，解决了数据并行问题，但是它并不总是能够把这种以高效率的计划。
Even if you know the best and fastest algorithm for solving a data parallel problem, it isn't always possible to translate that to an efficient program.
在整个处理流程中，数据整合是实现并行导入的关键步骤，详细描述了历史数据并行整合的方法。
In the whole process flow, data aggregation is the key stage to realize parallel importing. The aggregation method of temporal data is described in detail.
本文从分布式存储的并行计算机入手，引出了它的两种并行编程模型消息传递模型和数据并行模型。
This paper starts with parallel computer of distributed memory, educe two kinds of parallel programming models-message transferring model and data paralleling model.
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.
随着数据并行应用需求的日益增长，可任意划分负载的调度问题已经成为并行调度领域新的研究热点。
With the increasing growth of data parallel applications, divisible job scheduling problem has been on the new focus of parallel scheduling area.
首先介绍了L SSIMD阵列微处理器的三种并行性：数据并行、流水线并行和指令的并行执行。
This paper firstly discusses three types of parallelism in LS SIMD array microprocessor, they are the concurrence of data, the pipelining and the operation in parallel.
对于数据并行问题，提出了并行程序逻辑进程中一个块的TTPN模型以及包含多个块的循环的TTPN模型。
As for data parallel problem, the author presents the TTPN model of a segment and the TTPN model involving several segments in logical process about parallel program.
该模型采用新的耦合修正交替方向隐式迭代求解、并行计算程序设计、交替方向网格划分、数据并行信息传递。
This model USES new coupling correction alternation direction implicit iterative solution, parallel calculation program design, alternative direction grid delineation and parallel data transference.
基于某重点工程项目，介绍了一种高速数据并行处理系统，并详细说明了DS P中信号处理程序的操作流程。
Based on one key project, a high-speed digital parallel analyzing system is introduced. The flow of operation of the signal processing program in DSP is defined in detail.
在由多计算机机群构成的网格环境下，为了实现数据并行型计算，提出了一个基于多智能体机制的网格开发模型。
For implementing the data parallel computing (DPC) in grid that composed of multi-clusters, a grid development model based on multiagent is discussed.
本文首先介绍两种典型的并行执行方式：支持数据并行语言的SPMD方式和支持任务并行语言的MPMD方式。
Firstly, this paper introduces two existed parallel execution models: SPMD and MPMD supporting data parallel and task parallel languages, respectively.
为了提高嵌入式多媒体应用的实时性能，提出了一种最大化数据并行访问以便充分发挥CPU处理能力的片上存储器分配方法。
A memory allocation algorithm was developed to maximize parallel data access and make full use of CPU processing ability to improve real-time performance of embedded multimedia applications.
Accelerator系统鼓励你以整个数组操作的方式来表述数据并行处理算法，对不同的后台程序(或“目标”)的实现更有效。
The Accelerator system encourages you to express data-parallel algorithms in terms of whole array operations which leads to efficient implementations for various back ends (" targets ").
针对基于区域增长的图像分割方法，讨论和研究了其数据并行实现方法，证明了这种数据并行方法的正确性，并简要对算法性能进行了分析。
This paper discusses the data parallel algorithm and its implementation on region growing image segmentation, the correctness is proved, and the performance is also analyzed.
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