subpool：加速多处理器系统的对象分配。
Subpool: Speeds up object allocation on systems with very large Numbers of processors.
另外，一些多处理器系统支持并行处理。
In addition, some multiprocessor systems support parallel processing.
数据局部性是多处理器系统中的重要研究方向之一。
As one of the most important issues in multiprocessor systems, data locality is a main direction of studies on such systems.
本文就是在网格结构的多处理器系统上研究其容错路由。
This thesis investigate the fault-tolerate unicast routing strategy on mesh structure.
要使用多处理器系统的功能，通常需要使用多线程构造应用程序。
To exploit the power of multiprocessor systems, applications are generally structured using multiple threads.
为了更有效率地应用多处理器系统，复制以及压缩也可以平行地实行。
To utilize multiprocessor systems more efficiently, copying and compression can also be performed in parallel.
多线程同样能够提高一些任务的执行速度，特别是在多处理器系统中。
Multithreading can also improve the speed of performing some tasks, especially on multiprocessor systems.
分段和分页机制被配置成支持单任务系统、多任务系统或多处理器系统。
These two mechanisms (segmentation and paging) can be configured to support simple single-program (or single-task) systems, multitasking systems, or multiple-processor systems that used shared memory.
这些新收集器是为了解决在多处理器系统中垃圾收集器成为伸缩性瓶颈这一问题的。
These new collectors address the problem of the garbage collector being a scalability bottleneck on multiprocessor systems.
在多处理器系统中，Linux试图模拟分派到可用处理器的单个全局RT线程队列的行为。
On multiprocessor systems, Linux tries to emulate the behavior of a single global queue of RT threads that are dispatched to available processors.
这尤其是在多处理器系统方面的一个问题，超过程序可能存取一个资料项目哪里。
This is especially a problem on multiprocessor systems where more than one process may be accessing a datum.
在阅读中，我所做的，似乎并没有使用单处理器和多处理器系统的算法之间的差异。
In the reading I've done, there doesn't seem to be any difference in the algorithms used between single and multi-processor systems.
同样的过滤器可以在不同的GPU和CPU架构上高效运行，包括多核与多处理器系统。
Allows the same filter to run efficiently on different GPU and CPU architectures, including multi-core and multiprocessor systems.
包含概述在多处理器系统中生成时的注意事项的主题，例如并行生成以及有效使用内存。
Contains topics that outline what to consider when you are building on a multi-processor system, for example, building in parallel and using memory efficiently.
然而目前一些有效降低能量消耗的技术大多针对单处理器系统，较少考虑多处理器系统。
Many techniques have been proposed to reduce power consumption for uniprocessor systems, while less work have taken multiprocessor systems into account.
被叫作“多处理器系统”的一般有公用的内存空间，处理器通过它们进行通讯和共用数据。
So-called "multiprocessor systems" usually have a common memory space through which the processors can communicate and share data.
这在多处理器系统中是一项特别重要的技术，(原则上)可在其中进行并发处理而无需降低响应时间。
This is an especially important technique on multi-processor systems, where concurrency can (in principle) be used without degrading response time.
引言多处理器系统作为红外成像探测系统的重要组成部分，主要完成红外图像处理和目标检测。
The multiprocessing system is one of the most important parts of infrared imaging and detecting systems.
考虑一下如下事实：今天的多核、多处理器系统与昨日的单核的庞然大物相较而言已是相去甚远。
Consider this: Today's multicore, multiprocessor systems are a far cry from yesterday's single-core behemoths.
十五年前，多处理器系统是高度专用系统，要花费数十万美元(大多数具有两个到四个处理器)。
Fifteen years ago, multiprocessor systems were highly specialized systems costing hundreds of thousands of dollars (and most of them had two to four processors).
本文以rtems为例，通过对源代码的剖析，深入探讨嵌入式操作系统对多处理器系统的支持。
In this paper, We discuss the multiprocessor support of embedded system, illustrating with an example of RTEMS.
这实际上就是多处理器系统中发生的情形，在此类系统中，可执行线程分布在多个可用处理器中。
This is actually the case on multiprocessor systems, where the executable threads are distributed among the available processors.
如果某个远程计算机是一个多处理器系统，HostSelector可能会不止一次地返回该主机名。
If a remote machine is a multiprocessor system, the HostSelector may return the name of this host more than once.
在多处理器系统中，寻求一个有效的并行任务设计安排使得整个执行时间达到最小是至关重要的环节。
In the multiprocessor systems, an efficient scheduling of a parallel program onto the processors that minimizes the entire execution time is vital.
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.
文中讨论了在多处理器系统上，用大规模并行处理技术实现人工神经网络时，处理器之间的通信开销问题。
The communication overhead in parallel implementation of artificial neural network on a multiprocessor system is analyzed in this paper.
不过，如果您的应用程序是部署在多处理器系统上或者使用非常大的堆，那么改变收集器选项可能会有巨大的性能提升。
However, if your application is deployed on a multiprocessor system or USES a very large heap, you may get some performance boost from changing collector options.
不过，如果您的应用程序是部署在多处理器系统上或者使用非常大的堆，那么改变收集器选项可能会有巨大的性能提升。
However, if your application is deployed on a multiprocessor system or USES a very large heap, you may get some performance boost from changing collector options.
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