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A novel scheme for Compiler Optimization Framework

机译:编译器优化框架的新方案

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摘要

Determining nearly optimal optimization options and selecting the right values for compiler parameter set is a combinatorial problem. In order to obtain the maximal performance, sophisticated tuning strategies were employed by many researchers. Enormous tuning times are the main hindrance for the application of these strategies in production compilers. Also the existing compiler optimization frameworks do not completely capture the requirements of modern day systems and their performance objectives. In order to mitigate the problem of enormous tuning times and also to capture the requirements of the modern day systems, we are proposing a novel scheme for Compiler Optimization Framework, called Compiler Optimization Adaption Scheme. As part of this scheme, we propose the Objective-specific Tuned Libraries, which will be used to link with the applications as per the desired performance objective. Details of the experimentation supporting our ideas behind the scheme including Objective-specific Tuned Libraries are also presented.
机译:确定几乎最佳的优化选项并为编译器参数集选择正确的值是一个组合问题。为了获得最佳性能,许多研究人员采用了复杂的调整策略。大量的调优时间是在生产编译器中应用这些策略的主要障碍。而且,现有的编译器优化框架不能完全捕获现代系统的要求及其性能目标。为了减轻大量调整时间的问题并捕获现代系统的需求,我们提出了一种针对编译器优化框架的新颖方案,称为编译器优化适应方案。作为该方案的一部分,我们提出了特定于目标的优化库,该库将根据所需的性能目标与应用程序链接。还提供了支持该方案背后的思想的实验详细信息,包括针对特定目标的调优库。

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