例如，还存在网络流、内存流和磁带流等。
与内存流控制器(MFC)进行交互的API是由mfs头文件提供的。
The API for interacting with the memory flow controller (MFC) is provided by the MFC headers.
这将工作，但根据量和你可能想压缩内存流之前发送的数据类型。
This would work well, however depending on the amount and type of data you might want to compress the memory stream prior to sending.
它们可用来向内存流控制器发出dma命令、处理SPE事件、向PPE和从PPE读写消息。
They are used for issuing DMA commands to the memory flow controller, handling SPE events, and reading and writing messages to and from the PPE.
SPE不能直接读取主存，相反地必须通过对内存流控制器(或mfc)的单元使用dma命令来在本地存储和主存之间导入和导出数据。
The SPE cannot read main memory directly, but instead must import and export data between the local store and main memory using DMA commands to a unit called the memory flow controller, or MFC.
如果我们想要探究内存映射文件结构的话，不需要构造一个流，只要找到该资源的名字即可。
If we explore the construction of the memory mapped file we can see that there is no stream, we just name the resource.
这样可能会降低消息流的内存利用率。
This way memory utilization of the message flow can be reduced.
内存中存储的数据可能包括某条消息在其消息流期间记录的所有日志事件。
The data stored in memory could include all of the log events that a message would make during its flow.
数据流分析检查了汇编的代码，以识别潜在的内存和资源问题。
Data flow analysis examines compiled code to identify potential memory and resource problems.
为了获得最佳的性能和内存使用，需要让数据绑定工具直接访问底层的XML流。
To achieve optimum performance and memory efficiency, you need to give the data binding tool direct access to the underlying XML stream.
我将分析单元素、内存池和数据流的概念。
I'll examine the idea of a singleton, memory pooling, and data streaming.
首先，在输入方面，它将完整的XML文件读入内存，所以如果文件非常大或者需要处理XML数据流，就不能使用这个模块。
First, on input it reads the entire XML file into memory, so if the file is too big, or if you're dealing with a stream of XML data, you can't use the module.
运行时分析允许开发者精确地找到内存泄漏，发现并修正应用程序的运行瓶颈，使代码的执行流及应用程序线程可视化。
Runtime analysis allows developers to pinpoint memory leaks, find and fix application performance bottlenecks, and visualize the execution flow of code and application threads.
这里，所有流活动在一个技术事务内运行，导航全部在内存内完成，中间状态不会存储到数据库中。
Here the entire set of of flow activities runs within one single technical transaction, navigation is all done in memory, and the intermediate state is not saved to a database.
现在看看相反的过程，从数据流建立内存对象模型。
Now take a look at the the reverse process — building an in-memory object model from a data stream.
它要增加内存消耗，在处理之前整体读取数据流并进行存储。
It adds the burden of memory consumption for reading in the entire data stream before it can be worked on, and for storing all of the data.
在源vios上使用topas命令，可以看到SEA (ent6)上有一些网络通信流，这是内存复制产生的通信流。
Using the topas command on the source VIOS, you may observe some network traffic on the SEA (ent6) as a result of the memory copy.
如果XML文档不能全部装入内存或者是长度未知的流，就不能使用XML：Simple。
If the XML document won't fit in memory or is a stream of unknown length, you can't use XML: : Simple.
表4包含的测评结果是将一个长度为10,690,488、深度为65的rope写入一个由内存缓冲区支持的流的结果。
Table 4 contains the benchmark results of writing a rope with length 10,690,488 and depth 65 to a stream backed by an in-memory buffer.
和树解析方式不同，流解析不需要将整个文档加载到内存中。
Unlike tree style parsing, stream parsing does not load the entire XML document into memory.
像素的信息比像素本身的值最终需要的内存要少，而且这样在网上进行视频流的传输会比较容易。
Information about pixels ends up taking up less memory than the values of the pixels themselves, which makes it easier to stream video over the Internet.
读取数据流并将结果写入流是很方便的，因为应用程序不一定要将文件的大部分（更不必说整个文件）读取到内存。
Reading data streams and writing results to streams is convenient, because the application does not have to read a large portion of the file, much less the whole file, into memory.
在导入OD f文档时，并不需要把包中的所有文件流都装载到内存中。
When importing an ODF document, not all the file streams in the package need to be loaded into memory.
SAX根据XML构造发回一个自由的事件流，除了当前正被处理的节点外不要求其它数据在内存中。
SAX sends back a free stream of events based on the XML constructs, and does not require data to be in memory except for the node currently being processed.
工作流不会在内存中挂起，不会阻塞线程，也不会在等待输入时耗尽进程。
The workflow doesn't hang around in memory blocking a thread and using up a process while it's waiting for input.
创建合适的流之后，现在就可以创建内存映射文件了。
With the stream in place, we can now create the memory mapped file. Let's see an example.
顺序是这样的，当RAM很昂贵时SGML（Standard Generalized Markup Language 标准通用标记语言）出现了，因为文件总是比物理RAM存储器大很多，所以它必需是流处理方式：内存中处理的价格高的惊人。
Here is the sequence: SGML comes out when RAM is expensive, and it must be stream processed since documents are so much bigger than physical RAM: in-memory implementations are prohibitive.
顺序是这样的，当RAM很昂贵时SGML（Standard Generalized Markup Language 标准通用标记语言）出现了，因为文件总是比物理RAM存储器大很多，所以它必需是流处理方式：内存中处理的价格高的惊人。
Here is the sequence: SGML comes out when RAM is expensive, and it must be stream processed since documents are so much bigger than physical RAM: in-memory implementations are prohibitive.
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