Catherine Hope
Accurate Step Counting
Hope, Catherine; Hutton, Graham
Abstract
Starting with an evaluator for a language, an abstract machine for the same language can be mechanically derived using successive program transformations. This has relevance to studying both the space and time properties of programs because these can be estimated by counting transitions of the abstract machine and measuring the size of the additional data structures needed, such as environments and stacks. In this article we use this process to derive a function that accurately counts the number of steps required to evaluate expressions in a simple language.
Citation
Hope, C., & Hutton, G. Accurate Step Counting. Presented at 17th International Workshop on Implementation and Application of Functional Languages
Conference Name | 17th International Workshop on Implementation and Application of Functional Languages |
---|---|
Publication Date | Jan 1, 2005 |
Deposit Date | Oct 26, 2005 |
Publicly Available Date | Oct 9, 2007 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/1020404 |
Files
stepCounting.pdf
(160 Kb)
PDF
You might also like
Calculating Compilers Effectively (Functional Pearl)
(2024)
Presentation / Conference Contribution
Beyond Trees: Calculating Graph-Based Compilers (Functional Pearl)
(2024)
Journal Article
Quotient Haskell: Lightweight Quotient Types for All
(2024)
Journal Article
Programming language semantics: It’s easy as 1,2,3
(2023)
Journal Article
Calculating Compilers for Concurrency
(2023)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search