In AIX 5l version 5.2 and later, there is a very large memory model.
在AIX5l版本5.2和更高版本中，有一个非常大的内存模型。
The 16MB page size is known as large and the 16GB page size as huge; both have use cases for very large memory applications.
16MB 的页面称为大页面，16GB 称为超大页面，它们用于内存需求非常大的应用程序。
If you want a native heap larger than 2gb and you are running AIX 5.1 or later, you can use the AIX very large memory model.
如果您希望本机堆大于2gb，并且运行的是AIX 5.1或更高版本，那么您可以使用AIX超大内存模型。
The very large memory model, like the large memory model, can be enabled for an executable at compile time with a linker option or at run time using the LDR_CNTRL environment variable.
与大内存模型类似，可以通过一个链接器选项或在运行时使用LDR_CNTRL环境变量来为编译时的可执行程序启用超大内存模型。
Query Parsing and optimization needs memory. This is usually small to be ignored but certain queries can have very large memory requrement for this step, especially specially crafted ones.
解析查询和优化都需要内存。这些内存通常比较小，可以忽略，不过如果是某些查询在这个步骤中则需要大量内存，尤其是那些设计的比较特别的查询。
Jumbo payloads — Sending a very large XML message to exhaust memory and CPU on the target system.
特大有效负载——发送一个非常大的XML消息来耗尽目标系统的内存和CPU。
Thus this approach requires more memory and is not considered the best method for very large XML documents.
因此，这种方法需要更大的内存，对于非常大的XML文档来说，它并不认为是最好的方法。
The new memory management code has been tested and optimized on everything from very low end desktop systems to large, enterprise-class, multi-processor systems.
从很低端的桌面系统到大型的、企业级的、多处理器的系统，新的内存管理代码已经在它们上面都已经进行了测试和优化。
Running out of memory can be a problem when using very large documents (generally in the 5 + MB range) with document models.
当利用文档模型使用非常大的文档(通常有5 +MB大小)时，运行时内存的不足会成为一个问题。
The value-add is the ability to chunk up data and store them in a grid, with varying degrees of redundancy, which allows for processing of very large data sets entirely in memory.
另外还有一些新的功能，用于将数据区块化存储到网格中，使用不同级别的冗余，以及在内存中处理超大型的数据集。
Your 592-page cookbook wouldn't make for a very large database table-almost certainly small enough to fit on a 32 MB USB memory stick.
如果把592页的烹调书保存在数据库中，它算不上非常大的数据库表；实际上相当小，用一个32MBu盘就能够保存它。
The tool is capable of analyzing very large sized memory dumps (will require 2 GB or more RAM) obtained from production environment application servers encountering OutOfMemoryError issues.
此工具能够分析从遇到Out Of MemoryError问题的生产环境应用程序服务器中获得的非常大的内存转储(将需要2GB或更多的RAM)。
Form templates work well with very large forms, but you must ensure that your system has adequate memory available for caching and storage.
表单模板适合非常大的表单，但是您必须确定您的系统能够为缓存和存储提供足够的内存。
AWE is a mechanism for accessing a very large portion of memory through a potentially smaller window.
AWE是一种机制，用于通过一个可能更小的窗口访问内存中一个很大的部分。
That means the instance Shared memory can potentially be very large.
这意味着实例共享内存可能会很大。
This technique may end up only being applicable when using very large, in memory object collections.
这个技术目前只在使用大型的内存对象集合的情况下才可用。
This applies to all audit types and is designed to reduce overall memory consumption for very large audits.
这适用于所有的审计类型，且旨在减少超大型审计总的内存消耗。
The parser doesn't keep anything in memory for very long, so it can be used for extremely large files.
解析器不会在内存中长期保持内容，所以可以用于非常巨大的文件。
A large swap space is also advisable for a system with very small memory.
建议为内存极小的系统使用较大的交换空间。
The preview process would likely consume very large resources resulting in poor performance and is likely to end up with out-of-memory exception.
预览进程可能会因消耗大量资源而表现不佳，并很可能最终导致内存溢出的异常。
When working with very large files, native developers turn to a technique known as Memory-Mapped files.
在处理巨型文件时，真正的开发人员会转而使用一种技术，名为内存映射文件。
With a simple vmo change here, you can actually tune the system to provide for large page usage, which can improve system performance substantially in very memory-intensive applications.
通过下面一项简单的vmo更改，您就可以对系统进行优化以提供大型的页面，从而对于消耗大量内存的应用程序极大地提高系统性能。
I rebooted the system "wrightxe" shortly before taking the screen capture, yielding a system with a large percentage of the overall memory free (930 MB) and very little cached (28 MB).
我是在重启系统“wrightxe”之后不久捕捉这个屏幕的，在此时的系统中，空闲内存(930MB)占很大的百分比，而用于缓存的内存则很少(28 MB)。
This article does not cover all of lxml but instead demonstrates techniques to efficiently process very large XML files, optimizing for high speed and low memory usage.
本文并没有介绍 lxml的所有部分，但是演示了一些可以有效处理大型XML文件、进行优化以提高处理速度并减少内存使用的技术。
Then based on partial suffix tree, presents a new parallel algorithm of suffix tree, which can construction large suffix tree in memory and more perfect to very large sequences.
在部分后缀树的基础上提出了后缀树的并行算法，解决了后缀树在应用上的内存瓶颈问题，因此更适合大规模的序列分析。
Shows how to transform very large text files into XML while maintaining a small memory footprint.
显示如何将非常大的文字档转换为XML，同时维护小的记忆体使用量。
To relax the demand on computer memory and to raise the efficiency when the computational grid number is very large, the flux conservation multizone methods are applied.
为了减缓计算网格数很多时对计算机内存的压力以及提高计算效率，运用了通量守恒的分区计算方法。
A large number of various embedded memory are integrated in digital chips, as the constraints of chip ports, direct test of these memories is very difficult.
各种类型的嵌入式存储器大量集成于数字芯片中，由于芯片端口的限制，直接测试这些存储器非常困难。
A large number of various embedded memory are integrated in digital chips, as the constraints of chip ports, direct test of these memories is very difficult.
各种类型的嵌入式存储器大量集成于数字芯片中，由于芯片端口的限制，直接测试这些存储器非常困难。
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