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Performance Evaluation of JavaScript Engines Using SunSpider Benchmarks  

Jung, Won-Ki (서울대학교 전기컴퓨터공학부)
Lee, Seong-Won (서울대학교 전기컴퓨터공학부)
Oh, Hyeong-Seok (서울대학교 전기컴퓨터공학부)
Oh, Jin-Seok (서울대학교 전기컴퓨터공학부)
Moon, Soo-Mook (서울대학교 전기컴퓨터공학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.6, 2010 , pp. 722-726 More about this Journal
Abstract
The recent deployment of RIA (Rich Internet Application) is often involved with the complex JavaScript code, which leads to the announcement of high performance JavaScript engines for its efficient execution. And the Sunspider benchmark is being widely used for the performance evaluation of these JavaScript engines. In this paper, we compare the execution methods of three high-performance JavaScript engines, Mozilla TraceMonkey, Google V8, and Apple SquirrelFish Extreme, and measure their performances using the SunSpider benchmark. We also evaluate the pros and cons of each engine, based on its execution method and the code characteristics of the SunSpider benchmarks.
Keywords
JavaScript Engine; RIA; SunSpider; Performance Evaluation;
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