Back to the future in one week - implementing a Smalltalk VM in PyPy

Bolz, Carl Friedrich; Lienhard, Adrian; Matsakis, Nicholas D.; Nierstrasz, Oscar; Renggli, Lukas; Rigo, Armin; Verwaest, Toon (2008). Back to the future in one week - implementing a Smalltalk VM in PyPy. In: Robert Hirschfeld and Kim Rose Hirschfeld, Robert; Rose, Kim (eds.) Self-Sustaining Systems. First Workshop, S3 2008 Potsdam, Germany, May 15-16, 2008 Revised Selected Papers. Lecture Notes in Computer Science: Vol. 5146 (pp. 123-139). Heidelberg: Springer Verlag 10.1007/978-3-540-89275-5_7

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We report on our experiences with the Spy project, including implementation details and benchmark results. Spy is a re-implementation of the Squeak (i.e., Smalltalk-80) VM using the PyPy toolchain. The PyPy project allows code written in RPython, a subset of Python, to be translated to a multitude of different backends and architectures. During the translation, many aspects of the implementation can be independently tuned, such as the garbage collection algorithm or threading implementation. In this way, a whole host of interpreters can be derived from one abstract interpreter definition. Spy aims to bring these benefits to Squeak, allowing for greater portability and, eventually, improved performance. The current Spy codebase is able to run a small set of benchmarks that demonstrate performance superior to many similar Smalltalk VMs, but which still run slower than in Squeak itself. Spy was built from scratch over the course of a week during a joint Squeak-PyPy Sprint in Bern last autumn.

Item Type: Book Section (Book Chapter)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor: Lienhard, Adrian; Nierstrasz, Oscar Marius; Renggli, Lukas and Verwaest, Toon Wim Jan
Series: Lecture Notes in Computer Science
Publisher: Springer Verlag
Language: English
Submitter: Factscience Import
Date Deposited: 04 Oct 2013 15:22
Last Modified: 08 Feb 2017 13:34
Publisher DOI: 10.1007/978-3-540-89275-5_7
Web of Science ID: 000262100700007
URI: (FactScience: 207071)

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