OpenCL是一种编程语言，能让你存取gpu和其他并行处理器。
OpenCL is a language that allows to access the GPU and other parallel processors.
库调用与服务器程序交互，使得计算机网看上去像是一台有很多并行处理器的计算机。
The library calls, which interact with the server programs, make a network of computers appear to be a single computer with parallel processors.
为了获得较高的处理速度，我们经常需要为一个计算机系统设计一些专用的高速并行处理器。
To gain higher processing speed, we often need to design some dedicated fast parallel processors for a computer system.
本文介绍了用于直接力矩控制系统的双cpu并行处理器，该系统的两片8098采用主—从工作方式。
In this paper, the author introduces the duplex Central Processing Unit (CPU) parallel system applied to the Direct Torque Control (DTC) system.
它可以看作是是使用并行处理器，每个都用了冒泡排序，但只是起始点在列表的不同位置(所有奇数位置可做第一步)。
It can be thought of as using parallel processors, each using bubble sort but starting at different points in the list (all odd indices for the first step).
并行处理器互连网络的路由算法异常复杂，电路延迟长，逻辑规模巨大，是制约高性能并行处理器提高频率、降低功耗的瓶颈。
The router arithmetic of the parallel processor is complex. The circuit has long latency and the logic has the huge size.
文章讨论了基于ADSP2 1 0 6x的四种多处理器并行处理器的实现方法，并给出了在快速付里叶变换中的应用实例。
In this paper, four classes different multi-processors parallel DSP system based on ADSP2106X have been discussed. The application of parallel DSP in FFT algorithm is also illustrated.
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.
(在集群中，这也称为大规模并行处理器(massively parallel processor, MPP)，它们并不需要共享内存；稍后我们将更详细介绍这方面的内容。)
(in clusters, also known as massively parallel processors (MPPs), they don't share the same memory; we will look at this in more detail.)
它为开发者提供了一种机制，可以将问题拆解为多个任务，在任意数量的处理器核心上并行执行。
This provides a mechanism for developers to decompose problems into tasks that can then be executed in parallel across arbitrary Numbers of processor cores.
不幸的是，并非所有的问题都可以并行化，而且还有管理处理器的开销，所以速度的提高并没有这么大。
Unfortunately, because not all of the problem can be parallelized and there's overhead in managing the processors, the speedup is quite a bit less.
虚拟处理器可以执行并行处理。
多核处理器会引爆并行计算，因此当务之急是降低并发编程的难度。
With multicore processors bringing parallel computing to the masses, there is an urgent need to make concurrent programming easier.
第二类并行问题是如何设计程序，从而有效地使用同时可用的资源，例如多处理器。
The second type of concurrency problem is how to design programs to effectively use resources that are available concurrently, such as multiple processors.
这种“并行性”需要富余的处理器资源。
处理器影响Indexer速度、Replicator速度、数据库事务最大数量以及可并行运行的插件数量。
Processors affect the Indexer speed, Replicator speed, number of maximum possible database transactions, and number of add-ins that can run in parallel.
SonicWALL的企业级的网络安全设备E7500靠16颗并行性能处理器工作。
SonicWALL’s enterprise-class Network Security Appliance (NSA) E7500 relies on 16 parallel performance processing cores.
它可以有效地利用数据的并行，并将其作为一个整体数组在不同处理器上使用不同的索引来同时执行指令。
It makes effective use of data parallelism and can act on entire arrays at once by executing instructions on different indexes of an array in different processors.
当跨入多内核时代时，我们需要找到更细粒度的并行性，否则将面临处理器处于空闲的风险，即使还有许多工作需要处理。
As we enter the many-core era, we will need to find finer-grained parallelism or risk keeping processors idle even though there is plenty of work to do.
分配组还有助于在多处理器系统上优化并行io性能，因为可以同时有多个元数据更新处于“在传输中”。
Allocation groups also help to optimize parallel IO performance on multiprocessor systems, because more than one metadata update can be "in transit" at the same time.
随着处理器数量的增加，为了有效利用可用的硬件，我们需要识别并利用程序中更细粒度的并行性。
To effectively utilize the available hardware as processor counts increase, we are going to have to identify and exploit finer-grained parallelism in our programs.
多年来，处理器制造厂商在不断提高时钟速度和指令级并行性，因此单线程代码不需要修改就可在新的处理器上更快运行。
For years, processor makers consistently delivered increases in clock rates and instruction-level parallelism, so that single-threaded code executed faster on newer processors with no modification.
此类架构在多线程应用程序中运行良好，该类应用程序中线程可能被分配给多个处理器以实现并行操作。
This type of architecture works well in multi-threaded applications where threads can be distributed across the processors to operate in parallel.
这些因素使多玩家在线游戏引擎可以利用并行数据库技术，比如对称多处理器，以及其他大内存系统。
These factors allow a multiplayer online game engine to take advantage of the power of parallel database technology, such as symmetric multiprocessors, and other large memory systems.
随着可用的处理器数量增加，我们需要发现程序中更细粒度的并行性来源。
As the number of available processors increases, we're going to need to find finer-grained sources of parallelism in our programs.
平衡数据分发器利用并行机制来加快数据传输的速度，因此不会对单处理器的环境产生影响。
The Balanced data Distributor takes advantage of parallelism to speed up data transformations, so it won't have an effect on single-processor configurations.
它不使用专门优化过的向量硬件，而是使用标准的标量处理器，但是它采用了大量的处理器来并行处理多个计算任务。
Instead of using specially optimized vector hardware, it USES standard scalar processors, but in large Numbers to perform several computations in parallel.
接下来，做处理器和磁盘基准测试，然后是两节点（并行）基准测试，再执行多节点（并行）基准测试。
Next, work your way up to processor and disk benchmarks, then two-node (parallel) benchmarks, then multi-node (parallel) benchmarks.
它使用所有可用的处理器并行操作。
It USES all available processor to parallelize the operation.
根据设备的模型，所有这些操作都是由数百个snippet处理器并行执行的。
All this happens in parallel on hundreds of snippet processors, depending on the model of the appliance.
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