如何知道自己在运行单处理器还是多处理器内核？
How do I know if I am running a uniprocessor kernel or a multiprocessor kernel?
另外，ASP.NET运行时基础设施伸缩性很强，可以自动的在多处理器上任意一个选定的处理器上工作。
In addition, the ASP.NET runtime infrastructure is scalable enough to automatically exploit any selected processor on multi-processor hardware.
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.
如果此程序在单处理器或卸载的多处理器上运行，则每个线程打印的for循环迭代计数大致相同。
If this program is run on a uniprocessor or unloaded multiprocessor system, each thread prints out close to the same for loop iteration count. In one run, the program printed.
拥有多处理器的计算机要比单处理器的优越，因为每一个处理核心每秒能处理一定数量的计算。
Computers with multiple processors have an advantage over single-processor machines, because each processor core can handle a certain number of calculations per second.
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.
当系统的处理器较少时，这不是什么问题，但当系统中有很多处理器时，这样可以提高性能。
While this is less of an issue on a system with just a few processors, it can provide performance improvements when systems have a large number of processors.
不幸的是，多处理器的性能并不与单个处理器性能的总和成线性比例。
Unfortunately, performance doesn't scale linearly with the aggregate performance of the individual 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。
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.
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).
早期的微处理器速度和功能虽还不够高，但可以通过多处理器结构来解决。
Early microprocessor speed and functionality while still not high enough, but can be adopted to solve the multi-processor architecture.
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.
在多处理器计算机上，系统能以多线程同步执行，因为有多个处理器在机器上。
On a multiprocessor computer, the system can simultaneously execute as many threads as there are processors on the computer.
另外，一些多处理器系统支持并行处理。
In addition, some multiprocessor systems support parallel processing.
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.
大部分新电脑都有双核处理器，或者以两个或更多处理器为特色，因此他们被称作多处理器计算机。
Most of new computers have dual-core processors, or feature two or more processors, therefore they are called multiprocessor computers.
文中还将多处理器并行系统与单个处理器系统的处理结果进行了对比分析，验证了并行算法的优越性。
The implementation of the parallel algorithm is discussed and results are given to show the performance of the parallel system compared to a single processor system.
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.
在一些实施例中，使用应用处理器监视多处理器系统中系统自引导处理器的引导进度，并检测引导处理器故障。
In some embodiments a boot progress of a system boot Strap processor in a multi-processor system is monitored and a boot processor failure is detected using an Application processor.
在研究单处理器动态电压缩放和多处理器的PF调度算法的基础上，提出了一种多处理器节能调度算法。
In this paper, a scheduling algorithm is proposed for the multiprocessors based on dynamic voltage scaling algorithm and PF algorithm.
在并行多处理器上利用此算法，降低了SAR实时成像的运算量和成像延迟，显著提高了SAR实时成像的处理速度。
It improves the speed and decreases the processing delay of real time SAR imaging on a parallel processor.
这在多处理器系统上，有利于各个处理器更好的使用本地缓存，提高扩展性。
This is done to improve scalability by making better use of the local cache for each processor on a multiprocessor system.
本文因此分析了多核处理器与对称多处理器异同。
This paper has analyzed similarities and differences between the multi-core processors and the symmetric multi-processor.
同时，快速的处理器也有帮助，但多处理器系统(即使是一些很慢的CPU)会执行得更好，因为它能够并发处理更多的请求。
Also, a fast processor can help, but a multiprocessor system, even with slower CPUs, can perform better by handling more requests simultaneously.
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.
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.
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.
决定也使IBM能从Intel 中央处理器碎并且造能够与许多处理器在机器被使用的一根总线。
The decision also enabled IBM to break from the Intel CPU and build a bus capable of being used in machines with a variety of processors.
决定也使IBM能从Intel 中央处理器碎并且造能够与许多处理器在机器被使用的一根总线。
The decision also enabled IBM to break from the Intel CPU and build a bus capable of being used in machines with a variety of processors.
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