PICOBIT: A compact scheme system for microcontrollers

Vincent St Amour*, Marc Feeley

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Due to their tight memory constraints, small microcontroller based embedded systems have traditionally been implemented using low-level languages. This paper shows that the Scheme programming language can also be used for such applications, with less than 7 kB of total memory. We present PICOBIT, a very compact implementation of Scheme suitable for memory constrained embedded systems. To achieve a compact system we have tackled the space issue in three ways: the design of a Scheme compiler generating compact bytecode, a small virtual machine, and an optimizing C compiler suited to the compilation of the virtual machine.

Original languageEnglish (US)
Title of host publicationImplementation and Application of Functional Languages - 21st International Symposium, IFL 2009, Revised Selected Papers
Pages1-17
Number of pages17
DOIs
StatePublished - Dec 15 2010
Event21st International Symposium on Implementation and Application of Functional Languages, IFL 2009 - South Orange, NJ, United States
Duration: Sep 23 2009Sep 25 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6041 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other21st International Symposium on Implementation and Application of Functional Languages, IFL 2009
CountryUnited States
CitySouth Orange, NJ
Period9/23/099/25/09

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    St Amour, V., & Feeley, M. (2010). PICOBIT: A compact scheme system for microcontrollers. In Implementation and Application of Functional Languages - 21st International Symposium, IFL 2009, Revised Selected Papers (pp. 1-17). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6041 LNCS). https://doi.org/10.1007/978-3-642-16478-1_1