• CGLIB is a powerful, high performance code generation library.

    CGLIB是一个强大的高性能的代码生成包。

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  • You can exaggerate the performance variations with the code in Figure 3.

    您可以使用图3中的代码来放大这种性能差异。

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  • You will handle concurrency issues in the performance schedule instead of through the code.

    您将在这个执行调度中处理并发事件,而不需要通过代码。

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  • See Code design for performance and scalability.

    请参阅性能和可伸缩性代码设计。

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  • Experiments show that the bridging code has virtually no performance impact by itself.

    实验表明,桥接代码本身实际上没有性能影响。

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  • Code for performance from the beginning, below are some XSLT performance tips.

    从一开始产生的性能代码,下面是一些XSLT性能技巧。

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  • Developers can use this information for further code refactoring to improve the application's performance.

    开发者可以把这些信息用于进一步的代码重构以提高应用程序的性能。

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  • Want dramatic performance improvement without changing code?

    想要不更改代码就能获得显著的性能改进?

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  • Good programmers strive for code clarity in addition to code performance.

    优秀的程序员除了使代码具有良好性能外,还应努力使代码清淅。

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  • Code design for performance and scalability.

    性能和可扩展性代码设计。

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  • Quantify for performance analysis, code flow, and thread visualization

    量化的性能分析、代码流和线程可视化

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  • Managers should also never use buggy code as a basis for negative performance reviews.

    管理人员绝不应该将错误(bug)代码作为消极性能评审的基础。

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  • PureQuery can help you code data access in a way that helps optimize performance.

    pureQuery可以帮助您以有助于优化性能的方式编写数据访问代码。

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  • Improving performance without changing code.

    无需改变代码,提升性能。

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  • In improving performance, we look first at making the ruby code itself better.

    为了改善性能,我们先着手改善Ruby代码本身。

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  • The code simulates an application run while capturing performance metrics.

    清单4的代码在模拟应用程序运行的同时捕获性能度量指标。

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  • There really is not much code involved, which is conducive to great performance.

    实际上这个过程不需要很多代码,这一点有助于取得好的性能。

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  • The code has been carefully profiled and optimized for maximal performance.

    代码已经被仔细地分析并极大地优化性能。

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  • Developers can write responsive and efficient code with high performance.

    开发人员可以编写具有高性能的响应性代码。

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  • Which tools you use to test the performance of the code?

    你都使用哪些工具来测试代码的性能?

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  • You can use performance counter helper to ease and make your code smaller.

    您可以使用性能计数器帮助缓和,使代码更小。

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  • But the performance benefit of compiled code is still important in this environment.

    但是这种环境中,编译的代码的性能优势仍然非常重要。

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  • Code that is optimized for performance is often more difficult to read and maintain.

    针对性能进行优化的代码通常更加难于阅读和维护。

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  • And relative to the compilers for performance, it can reduce the code size from 15% to 20%.

    相对于优化性能的目标代码,可缩小代码大小的15%到20%。

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  • Create high performance and scalable infrastructure code.

    创建高性能和可扩展的基础结构代码。

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  • The Performance Analyzer , Call Stack , Code Coverage , and Step Outcapabilities are not available.

    在性能分析器,调用堆栈,代码覆盖率,加强在能力不详。

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  • Register allocation and code generation are key parts of generating high performance assembly code.

    寄存器分配和代码生成是决定编译器能否生成高效代码的关键部分。

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  • Register allocation and code generation are key parts of generating high performance assembly code.

    寄存器分配和代码生成是决定编译器能否生成高效代码的关键部分。

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