大家可以从他们的博文中吸取很多关于优化生产环境中应用程序性能的经验。
There is a lot to be taken away from their experience for everyone tuning performance for applications in production.
不过，由于程序库和内核版本的重要变化，对尝试优化自己应用程序性能的开发人员来说，重新编译源代码可能是最好的选择。
However, with the major changes in libraries and kernel versions, a recompile from source is probably the best option for a developer trying to get optimal performance out of their application.
我们希望本文所提供的指导能帮助您实现最优化DB 2应用程序性能的目标。
We hope that the guidance offered in this paper will help you achieve the goal of optimizing performance for your DB2 applications.
下面的小节将着重介绍一些常见的优化，可以提供有限的应用程序性能提升。
The next few sections highlight common optimizations that can provide low-level improvements in application performance.
优化应用程序性能的第一步是决定对您很重要的性能特征。
The first step in optimizing the performance of your application is to decide on the performance characteristics that are important to you.
通过根据位置优化资源分布，把应用程序性能最多提高20%。
Improved application performance by up to 20%, with locality optimized resource alignment.
在本文中，我们将探讨旨在优化LAMP应用程序性能的5个这样的任务。
In this article, we will look at five such tasks designed to optimize LAMP application performance.
本文中将介绍如何通过使用Xerces本机接口(XNI)和设置Xerces2的特性和属性来实现应用程序性能的优化。
Here, we show how you can optimize the performance of your application by using the Xerces Native Interface (XNI) and configuring features and properties specific to Xerces2.
首先，要提高Ajax应用程序性能，应该使用一些方法改善性能而不是优化带宽(例如XML内容过滤和xml加速)。
First, to speed up Ajax applications, you should address the means of improving performance other than bandwidth optimization (such as XML content filtering and XML acceleration capabilities).
实验结果表明，该策略能够显著提高程序性能，平均提高一倍，甚至更高，同时它能够预知优化后程序执行时间的变化，最高误差为2%。
Experimental results show that the scheme has ability to improve significant performance significantly, and predict the application's execution time after optimization with a maximum error of 2%.
实验结果表明，该策略能够显著提高程序性能，平均提高一倍，甚至更高，同时它能够预知优化后程序执行时间的变化，最高误差为2%。
Experimental results show that the scheme has ability to improve significant performance significantly, and predict the application's execution time after optimization with a maximum error of 2%.
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