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ZENODO
Software . 2026
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Software . 2026
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Software . 2026
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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A Separation Logic for Parallel Time Complexity with Work and Span Credits (Artifact)

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 28 May 2026Publisher:Zenodo
Authors: Moine, Alexandre; Westrick, Sam; Tassarotti, Joseph;

doi: 10.5281/zenodo.20432257 , 10.5281/zenodo.20432258

A Separation Logic for Parallel Time Complexity with Work and Span Credits (Artifact)

Abstract

This is the artifact for the paper "A Separation Logic for Parallel Time Complexity with Work and Span Credits". The sources are a snapshot of the repository https://github.com/nobrakal/parcas, and the virtual machine contains those sources already built and checked by Rocq. The artifact follows the instructions from https://icfp26.sigplan.org/track/icfp-2026-artifact-evaluation#Submission-Guidelines. The virtual machine has been tested on a Linux x86_64 host (22-core Intel CPU, 30 GiB RAM).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average