This also helps to reduce memory usage, since the type information represents variables in native machine representation.
这还有助于减少内存使用量，因为类型信息以本机机器表示法表示变量。
For this report, you want to display a graph of total memory usage per user and then, in a table, break that memory usage down on a per-session basis.
对于这个报告，你需要显示每个用户当前的内存使用情况图，然后在一个表中按照每个会话将内存使用划分。
A code profiler helps identify and optimize code hot spots, and really helps in understanding object usage and potential memory leaks.
代码评测器帮助鉴别和优化代码，并且在理解对象使用和潜在内存泄露方面真的很有帮助。
In the next installment, I'll share some techniques for understanding memory usage and chasing down memory leaks.
在下一部分，我将介绍一些技术用来理解内存使用和找出内存泄漏。
As discussed in system performance, monitor disk activity, CPU and memory usage to determine whether the disk subsystems, processing speed or paging are limiting performance.
如系统性能小节所述，监控磁盘活动、CPU和内存使用量可以确定磁盘子系统、处理速度或分页是否影响了性能。
The application service provider implements the pool manager in its memory space and can optimize resource usage by dynamically altering the pool size, based on demand.
应用服务器供应商在其内存空间实现池管理器，并根据需要动态改变池的大小，从而优化资源的使用。
These two examples include information like CPU and memory usage by process or task, in addition to network metrics.
这两个示例包含的信息有进程或任务的CPU和内存使用率，以及网络指标。
In addition to information on the overall memory usage of the system, DB2 determines the values of several kernel parameters.
除了关于系统使用的内存总量的信息外，DB 2还确定一些内核参数的值。
Process creation is expensive in terms of processor cycles and memory usage.
就处理器周期和使用的内存而言，创建进程的代价较高。
When open connections exist, there is an associated expense in the form of memory usage and network utilization that factors into the application's performance.
当打开的连接存在时，形式为影响应用程序性能的内存使用和网络利用的关联开销也存在。
In order to reduce memory usage, the resource bundle object is static and singleton.
为了减少内存使用，资源对象是静态和单一的。
It splits memory usage by component in the system, analyzes the usage in each component, and looks for wasteful practices.
它将系统的内存使用按组件进行划分，分析每一个组件的内存使用情况，并且会查找浪费的情况。
The sample below shows you the memory usage for each active process running on your system, sorted in a nice format.
下面的示例显示系统中每个活动进程的内存使用情况，并以恰当的方式排序。
These best practices are very simple to use, and can provide you with considerable gains in performance and memory usage of your application.
这些最佳实践非常容易使用，能够显著改进应用程序的性能和内存使用量。
Models can bind to any orm framework you like, but if you don't use one at all, you don't pay a price for using one in terms of memory usage and performance.
模型可以绑定任何你想要的ORM框架，但是如果你不需要的话，你也不比为非要使用一个而付出内存和性能的开销。
Memory usage in this workload is primarily attributable to file I/O, not anonymous memory, and very little swap activity is observed.
此工作负载中的内存利用主要是由文件I/O 引起，而不是匿名内存，几乎没观察到交换活动。
Because a new version is created every time that the profile is saved, its size can grow quickly, which can significantly affect performance (both in terms of memory usage and speed).
因为每次保存概要文件时就会创建一个新的版本，它可以迅速增长，这样就可以对性能产生深远影响(在内存使用和速度两个方面)。
In this example the applications memory usage increased rapidly, to a point where the application simply ran out of memory.
这个例子中，程序内存占用快速上升，直到产生程序内存溢出。
Over time, the Linux kernel has become efficient in terms of both memory and CPU usage, as well as extremely stable.
随着时间的流逝，Linux内核在内存和CPU使用方面具有较高的效率，并且非常稳定。
These metrics, when combined with STMM's advanced tuning algorithms, can in most cases, tune a system from an out-of-the-box configuration to near-optimal memory usage in an hour or less.
通过与STMM的高级调优算法结合使用，在大多数情况下，这些指标可以在一小时内把系统从开箱即用配置调整到接近最优的内存使用状态。
By using Purify routinely, you can find mistakes in memory usage and fix them even before they lead to a program crash or other obvious problematic behavior.
有规律地使用Purify，您可以在程序崩溃或者其它明显疑问的行为发生之前，找到内存的错误使用并修复它。
The high memory strategy activates metering in the event of prolonged high heap memory usage.
HighMemory策略下，当堆内存使用率长时间处于高位时对活动进行计量。
The Overview tab displays correlated information about memory usage, threads, classes, and CPU usage in a graphical format.
Overview选项卡以图形的格式显示有关内存使用、线程、类和CPU 使用情况的信息。
Memory leaks cause frequent GCs and result in high CPU usage and low throughput.
内存漏洞会导致频繁的GC，而且会导致高cpu使用率和低吞吐量。
In memory usage, time_rxp.py peaks around 28 MB, just about the same as the most parsimonious prior contender, gnosis.xml.objectify.
在内存使用方面，time_rxp . py最多时使用大约28MB，与以前的竞争者中最节俭的一个gnosis . xml . objectify相似。
The utilization rates of physical and virtual CPU and memory usage, IP usage, and storage usage are all available in the WebSphere CloudBurst console.
物理和虚拟内存的利用率、内存使用情况、IP 使用情况以及存储使用情况都可以从WebSphereCloudBurst控制台中查看。
Figure 4: Overview of thread status and memory usage in Rational Purify for Windows.
图4：RationalPurify for Windows中的线程状态和内存使用概况。
Starting another instance of Eclipse and then running vadump on that instance, as shown in Listing 14, initially seems to show very little difference in memory usage.
启动另一个Eclipse实例，然后在此实例上运行vadump，输出见清单14。初看上去，内存使用量的差异非常小。
We ran the script again, using memory_get_usage to look at the changes in memory usage, during each iteration.
我们再次运行了脚本，在每次迭代期间使用memory_get_usage查看内存使用量的变化。
In situations with a large number of columns - particularly if some are large VARCHAR or BLOB fields - this behavior can be a significant problem in terms of memory usage and performance.
在具有为数众多的列的情况下—尤其是当有些字段是巨大的VARCHAR或blob字段时—就内存使用和性能而言这种行为很有问题。
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