NDLI: Cross-language compiler benchmarking: are we fast yet?

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Cross-language compiler benchmarking: are we fast yet?

Cross-language compiler benchmarking: are we fast yet?

Content Provider	ACM Digital Library
Author	Daloze, Benoit Marr, Stefan Mössenböck, Hanspeter
Abstract	Comparing the performance of programming languages is difficult because they differ in many aspects including preferred programming abstractions, available frameworks, and their runtime systems. Nonetheless, the question about relative performance comes up repeatedly in the research community, industry, and wider audience of enthusiasts. This paper presents 14 benchmarks and a novel methodology to assess the compiler effectiveness across language implementations. Using a set of common language abstractions, the benchmarks are implemented in Java, JavaScript, Ruby, Crystal, Newspeak, and Smalltalk. We show that the benchmarks exhibit a wide range of characteristics using language-agnostic metrics. Using four different languages on top of the same compiler, we show that the benchmarks perform similarly and therefore allow for a comparison of compiler effectiveness across languages. Based on anecdotes, we argue that these benchmarks help language implementers to identify performance bugs and optimization potential by comparing to other language implementations. .
Starting Page	120
Ending Page	131
Page Count	12
File Format	PDF
ISBN	9781450344456
DOI	10.1145/2989225.2989232
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-11-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Benchmarking Languages Virtual machines
Content Type	Text
Resource Type	Article

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