To exploit the power of multiprocessor systems, applications are generally structured using multiple threads.
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。
Consider this: Today's multicore, multiprocessor systems are a far cry from yesterday's single-core behemoths.
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。
These new collectors address the problem of the garbage collector being a scalability bottleneck on multiprocessor systems.
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。
Allows the same filter to run efficiently on different GPU and CPU architectures, including multi-core and multiprocessor 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。
Linux is also well-suited for embedded Internet devices, because of its support of multiprocessor systems, which lends it scalability.
Linux用于嵌入式的因特网设备也是很合适的，原因是它支持多处理器系统，该特性使Linux具有了伸缩性。
In addition, some multiprocessor systems support parallel processing.
另外，一些多处理器系统支持并行处理。
In this thesis, we study some variants of diagnosis problems on multiprocessor systems.
在这篇论文当中，我们针对多处理机系统研究了一些不同的诊断问题。
Multithreading can also improve the speed of performing some tasks, especially on multiprocessor systems.
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。
As one of the most important issues in multiprocessor systems, data locality is a main direction of studies on such systems.
数据局部性是多处理器系统中的重要研究方向之一。
This is actually the case on multiprocessor systems, where the executable threads are distributed among the available processors.
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。
On multiprocessor systems, Linux tries to emulate the behavior of a single global queue of RT threads that are dispatched to available processors.
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。
Parallel preconditioning algorithm based on multiprocessor systems with local memory is stressed, so that two kinds of PPCG. PPCG1 and PPCG2 are proposed.
着重讨论了基于自带存储器的多处理机系统的并行预处理算法问题，并由此提出了两种PPCG法：PPCG1和PPCG2法。
In order to develop the performance of the multiprocessor systems, the support software is essential, of which the operating system is the most important.
多处理机系统是实现并行处理的高效低价的选择，要发挥多处理机系统的性能必须要有相应的软件支撑，这中间最为重要的就是操作系统。
Fifteen years ago, multiprocessor systems were highly specialized systems costing hundreds of thousands of dollars (and most of them had two to four processors).
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)。
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.
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”。
The 1.4.1 JDK further improves the effectiveness of garbage collection by adding new multithreaded collection options for multiprocessor systems and very large heaps.
JD K 1.4.1通过增加新的针对多处理器系统和非常大的堆的多线程收集选项，进一步改进了垃圾收集的效率。
The parallel scavenging collector, enabled by -XX:+UseParallelGC, is a young-generation collector optimized for very large (gigabyte and larger) heaps on multiprocessor systems.
由 -XX:+UseParallelGC启用的并行清除收集器是年轻代收集器，针对多处理器系统上非常大(吉字节以及更大的)堆进行了优化。
Today, multiprocessor systems are cheap and plentiful, nearly every major microprocessor has built-in support for multiprocessing, and many support dozens or hundreds of processors.
现在，多处理器系统很便宜，而且数量很多，几乎每个主要微处理器都内置了多处理支持，其中许多系统支持数十个或数百个处理器。
RTEMS (real-time Executive for Multiprocessor systems) is a free open source real-time operating system designed for embedded systems.
(多处理系统实时可执行体)一个自由的为嵌入式系统而设计的开源实时操作系统。
RTEMS (real-time Executive for Multiprocessor systems) is a free open source real-time operating system designed for embedded systems.
(多处理系统实时可执行体)一个自由的为嵌入式系统而设计的开源实时操作系统。
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