您要查找的是不是：
- This gets a second snapshot of memory usage. 这将得到内存使用的第二个快照。
- For error -1011, check the memory usage of the server. 对于错误-1011,检查服务器的内存使用情况。
- The reasons to worry about memory usage are quite understandable. 关心内存怎么使用的原因是可以理解的。
- Show variable manipulation, scanner tokens, and memory usage. 显示变量操作，符号扫描和内存使用。
- To sort programs by memory usage, click Memory (Private Working Set). 若要按内存使用对程序进行排序,请单击“内存(私人工作设置)”。
- The most important counters are CPU usage, memory usage, disk IO rate. 最重要的计数器是CPU使用率、内存使用量、磁盘IO率。
- You can see statistics about memory usage as it changes from time to time. 有时候，你可以查看关于内存使用统计表作为它的变更。
- A performance monitor displays a dynamic overview of CPU and memory usage. 性能监视器显示有活力的CPU和记忆使用的概述。
- Which can also enlist the aid of the garbage collector in managing memory usage and eliminating potential memory leaks. 用于帮助垃圾收集器管理内存使用和消除潜在的内存泄漏。
- Reduced memory usage with static non-motion blurred geometry; some speed improvements as well. 减少静态,没有动态模糊的物体内存的使用,速度上有所提升。
- So long as load is roughly constant, applications typically reach a steady state level of memory usage fairly quickly. 只要负荷大体上是恒定的,应用程序通常会很快达到一个稳定的内存使用水平。
- For example, the operating system tries to set limits for virtual memory for peak memory usage for a job object. 例如,操作系统尝试针对作业对象的内存使用峰值设置虚拟内存限制。
- If the store is larger than 6GB, or the server has high memory usage, you may want to update the index less frequently. 如果存储大于6 GB,或者服务器的内存使用率很高,则可能需要以较小的频率更新索引。
- Examples include a processor's busy time, memory usage, or the number of bytes received over a network connection. 示例包括处理器繁忙时间、内存占用情况或通过某个网络连接接收的字节数。
- This means that tail-recursive methods in the Java language can result in unexpectedly large memory usage. 这就意味着在Java语言中采用尾递归方法将导致巨大的内存占用,而这并不是我们期望的结果。
- Using this deep knowledge of memory usage, SuperFetch can preload data and code when physical memory becomes available. 在对内存使用情况的这种深入了解基础上,SuperFetch可在物理内存变为可用时预加载数据和代码。
- The Java database implementation also has to be scalable to large numbers of users and, therefore, requires extremely efficient memory usage. java数据库的实现也必须是可扩展的，以支持大量的用户，因此，需要非常高效地使用存储器。
- But inefficient memory usage impacts performance by forcing garbage collections to occur more frequently. 但是内存使用量不足会通过强制垃圾收集更频繁地发生而影响性能。
- POOLMON and POOLTAG in the DDK tools directory report on memory usage by tag value. 在DDK工具中的POOLMON和POOLTAG通过标签值直接报告内存使用（情况）。
- A larger fetch size is more expensive in terms of memory usage than a smaller size. 比较大的抓取大小就内存使用而言比小的抓取大小要更昂贵。
