Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023)

<Previous Article In Volume
Next Article In Volume>

Time efficiency analysis of parallel programs on Liquid Haskell

Authors
Yu Daiki1, *, Shinya Nishizaki2
1Tokyo Institute of Technology, Ookayama, Meguro, Tokyo, 152-8552, Japan
2Tokyo Institute of Technology, Ookayama, Meguro, Tokyo, 152-8552, Japan
*Corresponding author. Email: yu.daiki@lambda.cs.titech.ac.jp
Corresponding Author
Yu Daiki
Available Online 29 February 2024.
DOI
10.2991/978-94-6463-388-7_11How to use a DOI?
Keywords
execution time analysis; functional programming language; Haskell; SMT solver
Abstract

In this study, we focus on parallel programming in the purely functional language Haskell and try to analyze the execution time statically. Liquid Haskell is a program verification tool that integrates refinement types into the Haskell programming language and relies on SMT solvers for verification. In this study, we will improve the existing method for analysing sequential execution time by extending its capabilities to parallel programs using Liquid Haskell. Specifically, we have implemented two execution time analysis functions in Liquid Haskell. One is a function that executes a two-element tuple sequentially or in parallel, depending on the number of processors. The other is a function that executes each element of a list in parallel. We compare the results of parallel execution time inferences made in Parallel Haskell with the actual execution times of parallel runs on computers with multi-core CPUs.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 February 2024
ISBN
978-94-6463-388-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-388-7_11How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yu Daiki
AU  - Shinya Nishizaki
PY  - 2024
DA  - 2024/02/29
TI  - Time efficiency analysis of parallel programs on Liquid Haskell
BT  - Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023)
PB  - Atlantis Press
SP  - 155
EP  - 192
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-388-7_11
DO  - 10.2991/978-94-6463-388-7_11
ID  - Daiki2024
ER  -