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

Jan Kasper Martinsen, Håkan Grahn
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引用次数: 2

Abstract

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.
线程级推测作为Web应用程序中的一种优化技术——初步结果
Web应用程序已经变得越来越流行,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存在性能损失,而传统的优化技术已经解决了这个问题。我们发现,虽然这些技术的性能增益对于一组已建立的基准测试是积极的,但它通常无法提高实际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)来自动提取并行性以获得性能。在硬件和软件中都有多个TLS提案,但是在JavaScript中做的工作很少。目前,我们正在一个针对嵌入式移动设备的最先进的JavaScript引擎中实现我们的TLS理念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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