most citedAn extended and more practical mwp flow analysis

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.PL2022

A Novel Loop Fission Technique Inspired by Implicit Computational Complexity

Clément Aubert, Thomas Rubiano, Neea Rusch +1

This work explores an unexpected application of Implicit Computational Complexity (ICC) to parallelize loops in imperative programs. Thanks to a lightweight dependency analysis, ou…

cs.FL2022

mwp-Analysis Improvement and Implementation: Realizing Implicit Computational Complexity

Clément Aubert, Thomas Rubiano, Neea Rusch +1

Implicit Computational Complexity (ICC) drives better understanding of complexity classes, but it also guides the development of resources-aware languages and static source code an…

cs.CC2022

Realizing Implicit Computational Complexity

Clément Aubert, Thomas Rubiano, Neea Rusch +1

This abstract aims at presenting an ongoing effort to apply a novel typing mechanism stemming from Implicit Computational Complexity (ICC), that tracks dependencies between variabl…

cs.LO2021★ 1 cited

An extended and more practical mwp flow analysis

Clément Aubert, Thomas Rubiano, Neea Rusch +1

We improve and refine a method for certifying that the values' sizes computed by an imperative program will be bounded by polynomials in the program's inputs' sizes. Our work ''tam…

cs.PL2021

pymwp: A Tool for Guaranteeing Complexity Bounds for C Programs

Clément Aubert, Thomas Rubiano, Neea Rusch +1

Complexity analysis offers assurance of program's runtime behavior, but large classes of programs remain unanalyzable by existing automated techniques.The mwp-flow analysis sideste…