人们对多处理这个名称存在许多误解。
如前所述，大多数现代处理器都包含对多处理的支持。
As stated earlier, most modern processors include support for multiprocessing.
结果，更多处理周期可以用来做实际的工作。
As a result, more processing cycles are available to do real work.
这正是紧密耦合多处理（也称作多核计算）背后的思想。
That's the idea behind tightly-coupled multiprocessing (also called multi-core computing).
在现代的工作站上，这段时间足够进行许多处理。
On modern workstations, this is enough time to do a lot of processing.
记住所有这些仅仅是众多处理敏捷演示问题方法中的一种。
Bear in mind that all of this is just one among many ways to approach the Agile demo problem.
这类硬件可能不支持多处理、大量内存占用或对物理存储的大量需求。
Such hardware may not be suited to multiprocessing, a large memory footprint, or significant demands on physical storage.
现在我们看到了对称多处理运用在各种板子上，甚至手机上。
Now we see SMP support used across the board, even in phones.
另外，一些XQuery表达式在许多处理例程中是重复的。
Further, some XQuery expressions are repeated within a variety of processing routines.
在很多处理方案中，此信息与成功调用期间返回的数据一样重要。
In many processing scenarios, this information is just as important as the data returned during a "happy-path" invocation.
即对称多处理(symmetricmultiprocessing)。
将正则表达式与SQL结合起来可以提供许多处理数据的可选方法。
Combining regular expressions with SQL provides many alternative means of processing data.
在多处理环境中，线程的处理时间与可用系统资源以及与其他线程的同步有关。
In a multiprocessing environment, the processing time for a thread is related to the availability of system resources and synchronization with other threads.
如果命令需要更多处理时间，可以使用- t设置更长的到期时间。
If your command requires more processing time, use -t to set a longer expiration time.
例如，需要复杂数据库或高级格式化的报告需要更多处理报告的能力。
For example, reports that require complex database queries or advanced formatting will require more report-processing capacity.
这在很大程度上要归功于女性，因为女性具备许多处理家庭关系的技巧。
Much of the credit here goes to women because they have the necessary skills to manage relationships and family.
但是到了二十年后的现在，多处理利用对称多处理技术又回到了个人计算机系统中。
But now, twenty years later, multiprocessing has returned to these same personal computer systems through symmetric multiprocessing.
Capped禁止LPAR使用除当前分配给它的以外的更多处理单元。
Capped prohibits the LPAR from using more processing units than is currently allocated to it.
这种情况下，门户中进行的很多处理都会丢失，因为之后会将其结果丢弃。
In this case, much of the processing that happens inside the portal will be lost since the results are discarded afterwards.
Un capped允许LPAR使用除当前分配给它的以外的更多处理单元。
Uncapped allows the LPAR to use more processing units than is currently allocated.
在开始讨论Linux中的多处理应用程序之前，我们先来快速地回顾一下多处理的历史。
Before discussing the application of multiprocessing in Linux, let's take a quick look back at the history of multiprocessing.
但愿随着Microfor mats的成熟，有更多处理这类情况的规范出现。
Hopefully as microformats mature, there will be more standardisation of how to handle these cases.
我们对许多处理性能问题的标准方法进行了测试，以演示这些配置可能带来的益处。
We test many of the standard methods of dealing with performance issues to demonstrate what the expected benefit of such configurations can yield.
在一个集成电路中，多个芯片、共享内存以及互连形成了一个紧密集成的多处理核心(参见图4)。
On a single integrated circuit, multiple chips, Shared memory, and an interconnect form a tightly integrated core for multiprocessing (see Figure 4).
包含Security组件后，就会自动执行很多处理，即使还未使用该组件来保护操作。
By simply including the Security component, several things happen automatically, even if you don't use it to protect an action.
Spring框架提供了许多处理JMX的有用工具，包括用于扩展JMX功能的扩展点。
The Spring framework provides many useful tools for handing JMX, including extension points for extending JMX functionality.
有许多处理语义互操作性的行业标准，其中包含了垂直行业和水平行业的数据和数据模型标准。
Many industry standards deal with semantic interoperability, which include data and data model standards for vertical and horizontal industries.
您可以使用Python所提供的众多处理库中的其中一个，为这个阻塞的进程派生新的进程。
You can use one of the many processing libraries available in Python to fork this blocking process.
实际上，吞吐量受到很多因素的影响，包括消息到达的速度、消息处理时间、多处理和调度、资源约束等。
In reality, throughput is affected by a large number of variables including message arrival rate, message processing time, multiprocessing and scheduling, and resource constraints.
因特尔已经开始利用它的工具大谈特谈，宣传通过多核cpu和增强型gpu的计算进行传统的对称多处理。
Intel has been talking up a storm with its tools, evangelizing both traditional symmetric multiprocessing across multicore CPUs as well as GPU-enhanced computing.
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