图23显示内存池摘要。
显示内存泄漏疑点的分析结构显示在图2、图3和图4中。
The analysis results showing the memory leak suspects are shown in Figures 2, 3, and 4.
图13：eurekaj堆图显示内存溢出错误的一种可能情形。
Figure 13: EurekaJ Heap chart showing one possible scenario for Out Of Memory error.
在IDE的标题栏上显示内存管理器关于内存分配方面的信息。
Displays information in the IDE title bar regarding the amount of memory allocated using the memory manager.
内存映射特性能够使您根据XML文件中所定义的布局来显示内存的某个区域。
The memory mapping feature enables you to display a region of memory according to a layout defined in an XML file.
它提供了一系列工具用来显示内存泄漏和性能瓶颈，并提供对每一行代码进行代码覆盖的策略。
It offers a suite of utilities that exposes memory leaks and performance bottlenecks, and provides code coverage statistics down to individual lines of code.
打开内存泄露检测选项后，当程序运行结束且存在内存泄露的时候，程序会显示内存泄露对话框。
When the applications is closed, if there are unexpected memory leaks the application will display the "Unexpected Memory Leak" dialog box.
能显示内存泄漏、溢出等等的位置的工具可以解决内存管理问题，我发现MEMWATCH和YAMD很有帮助。
Tools that show the location of memory leaks, overruns, and the like can solve memory management problems, and I find MEMWATCH and YAMD helpful.
所属权上下文视图显示内存空间的主要占用者与主要内存空间占用者摘要集合的主要组成数据类型之间的所属关系。
Ownership context view showing ownership relationship between major contributors to the footprint and significant constituent data types of the summarized set of major footprint contributors.
所属权上下文视图显示内存占用空间的主要贡献者与主要内存占用空间贡献者摘要集合的主要组成数据类型之间的所属关系。
Ownership context view shows ownership relationship between major contributors to the footprint and significant constituent data types of the summarized set of major footprint contributors.
在图形引擎模块设计中，首先从OSD设备驱动入手，提出了图形显示内存设计方案，完成了图形引擎基本绘图和位图操作的实现。
In graphics engine module, we firstly study the OSD device engine, and bring forward the design method of the graphics display memory, lastly implement the basal drawing and the work of bitmap.
当交换内存页时显示就发生更改，所以您不需要将Image对象从程序内存复制到显示内存；您只要更改视频指针，显示就会发生更改。
The display changes when you swap memory pages so you need not copy an Image object from program memory to video memory; you merely change video Pointers and the display changes.
Databrowser窗口——在Memory选项卡中显示执行的概要数据，在call图、FunctionList视图，和Object List视图选项卡中显示内存概要数据。
Data browser window — displays run summary data in the memory TAB; and displays. memory profiling data in the Call graph, Function List view, and Object List view tabs.
这意味着更大的项目也能显示，但是由于内存有限，在滚动时，响应可能不是很快。
This means that larger projects can still be shown, but with limited memory the scrolling is not as responsive.
如何显示虚拟内存统计数据？
这个程序还允许您为调试目的显示子系统共享内存段。
This program also allows you to display the subsystem Shared memory segment for debugging purposes.
图1显示了由内存泄漏检测特性所产生的示例通知。
Figure 1 shows a sample notification generated by the memory leak detection feature.
定义变量且检查视频接口是否可用之后，使用硬件视频内存的显示表面初始化。
After defining variables and checking to see if the video interface is available, a display surface is initialized that USES hardware video memory.
图3显示了运行上述示例代码的结果，其中显示了“内存条件：内存溢出”条件的结果。
Figure 3 shows the results of running the example code above, showing the results of a "memory condition: memory leak" condition.
这些结果显示，使用内存膨胀造成吞吐量增长近 20%。
These results show that the use of memory ballooning contributed to nearly a 20 percent increase in throughput.
不存在显示、内存和无线的争论- - -这将是用户体验的争斗。
It won't be a debate about displays, memory, wireless options — it will be a debate about the quality of the experience.
此外，显示对象所需的内存根据正在执行的操作而变化。
Additionally the memory needed to represent an object can vary depending on the action being performed.
YAMD显示我们已经释放了内存，而且存在内存泄漏。
YAMD shows that we have already freed the memory, and there is a memory leak.
输出：交互式报告，其中显示主要的内存泄露可疑之处，以及有关这些泄露的详细信息。
Output: an interactive report showing the main suspects for memory leak along with detailed information about these leaks.
svmon- p命令显示所有进程的内存使用量统计数据。
The svmon -p command displays the memory usage statistics for all the processes.
默认情况下，Xdebug将显示时间、内存使用量、函数名和函数调用深度字段。
By default, Xdebug displays fields for time, memory usage, function name, and the depth of the function call.
svmon- g命令显示下面的全局内存报告。
The svmon -g command displays the following global memory report.
在我们第一次观察到这个问题时，topas显示计算内存的总使用量达到99%。
When we first observed the problem, topas showed the total percentage of computational memory as 99%.
在我们第一次观察到这个问题时，topas显示计算内存的总使用量达到99%。
When we first observed the problem, topas showed the total percentage of computational memory as 99%.
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