dataset · DANS Data Station Physical and Technical Sciences · 2020
Source code of the resource analysis compiler
M.A.A. Klinik, J. Hage, J.M. Jansen, M.J. Plasmeijer
Cited by 0Open access
Abstract
Source code accompanying the paperMarkus Klinik, Jurriaan Hage, Jan Martin Jansen, and Rinus Plasmeijer. Predicting resource consumption of higher-order workflows. In Proceedings of PEPM 2017, Paris, France, January 18-20, 2017, pages 99–110. ACM, 2017a. ISBN 978-1-4503-4721-1.CONTENTS- *.dcl/.icl: the Clean modules of the analyzer- *.prj: project files for the main program and the test- test: test cases for the corresponding Clean module, includes source code forthe TestFramework needed to run the tests- bash_completion.d: source this file in your .bashrc to get simplecommand-line completion for the mtasks command.- programs: example programs to demonstrate the analyzer- More information on how to compile and run this program can be found in README.txtSHORT SUMMARYWe present a type and effect system for the static analysis of programs written in a simplified version of iTasks.iTasks is a workflow specification language embedded in Clean, a general-purpose functional programming language.Given costs for basic tasks, our analysis calculates an upper bound of the total cost of a workflow.The analysis has to deal with the domain-specific features of iTasks, in particular parallel and sequential composition of tasks, as well as the general-purpose features of Clean, in particular let-polymorphism, higher-order functions, recursion and lazy evaluation.Costs are vectors of natural numbers where every element represents some resource, either consumable or reusable.
Cite this paper
Klinik, M., Hage, J., Jansen, J., & Plasmeijer, M. (2020). Source code of the resource analysis compiler. DANS Data Station Physical and Technical Sciences. https://doi.org/10.17026/dans-zdg-y4sg
Klinik, M.A.A., et al. “Source code of the resource analysis compiler.” DANS Data Station Physical and Technical Sciences, 2020, https://doi.org/10.17026/dans-zdg-y4sg.
Klinik, M.A.A., J. Hage, J.M. Jansen, and M.J. Plasmeijer. 2020. “Source code of the resource analysis compiler.” DANS Data Station Physical and Technical Sciences. https://doi.org/10.17026/dans-zdg-y4sg.
Klinik, M. et al. (2020) ‘Source code of the resource analysis compiler’, DANS Data Station Physical and Technical Sciences. Available at: https://doi.org/10.17026/dans-zdg-y4sg.
@misc{klinik2020source,
title = {{Source code of the resource analysis compiler}},
author = {Klinik, M.A.A. and Hage, J. and Jansen, J.M. and Plasmeijer, M.J.},
journal = {DANS Data Station Physical and Technical Sciences},
year = {2020},
doi = {10.17026/dans-zdg-y4sg}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.