This paper presents the implementation of an efficient interpreter for a Scheme-like language using manually written asm.js code. The asm.js specification defines an optimizable subset of JavaScript which has already served well as a compilation target for web applications where performance is critical. However, its usage as a human-writable language that can be integrated into existing projects to improve performance has remained largely unexplored. We therefore apply this strategy to optimize the implementation of an interpreter. We also discuss the feasibility of this approach, as writing asm.js by hand is generally not its recommended use-case. We therefore present a macro system to solve the challenges we encounter. The resulting interpreter is compared to the original C implementation and its compiled equivalent in asm.js. This way, we evaluate whether manual integration with asm.js provides the necessary performance to bring larger applications and runtimes to the web.
Original languageEnglish
Title of host publicationProceedings of the 31st ACM Symposium on Applied Computing, Programming Languages Track (SAC 2016)
PublisherACM
Pages1944-1951
Number of pages8
ISBN (Print)978-1-4503-3739-7
Publication statusPublished - 2016
Event31st ACM/SIGAPP Symposium on Applied Computing, Programming Languages Track (SAC 2016) - Palazzo dei Congressi, Pisa, Italy
Duration: 4 Apr 20168 Apr 2016

Conference

Conference31st ACM/SIGAPP Symposium on Applied Computing, Programming Languages Track (SAC 2016)
CountryItaly
CityPisa
Period4/04/168/04/16

    Research areas

  • asm.js, JavaScript, interpreters, optimization, performance

ID: 16230600