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Thread-level speculation as an optimization technique in Web Applications — Initial results

机译:线程级推测作为Web应用程序中的一种优化技术—初步结果

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Web Applications have become increasingly popular as they allow developers to use an uniform platform for user interactions. The dynamic programming language JavaScript used in most Web Applications has performance penalties, that have been addressed by traditional optimization techniques. We have found that while the performance gain of such techniques are positive for a set of established benchmarks, it often fails to improve the performance of real-life Web Applications. We suggest Thread-Level Speculation (TLS) at the JavaScript function level to automatically extract parallelism to gain performance. There have been multiple TLS proposals in both hardware and software, but little work has been done within JavaScript. Currently we are implementing our TLS ideas in a state-of-the-art JavaScript engine targeted for embedded mobile devices.
机译:Web应用程序已变得越来越流行,因为它们允许开发人员使用统一的平台进行用户交互。大多数Web应用程序中使用的动态编程语言JavaScript都有性能损失,而传统的优化技术已解决了这些问题。我们已经发现,虽然对于一组已建立的基准来说,此类技术的性能提升是积极的,但它通常无法改善现实生活中的Web应用程序的性能。我们建议在JavaScript函数级别使用线程级推测(TLS),以自动提取并行性以获得性能。硬件和软件中都存在多个TLS提议,但是JavaScript内所做的工作很少。目前,我们正在针对嵌入式移动设备的最新JavaScript引擎中实施TLS创意。

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