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Automating Sized-Type Inference for Complexity Analysis

Series
International Conference on Functional Programming 2017
Video Embed
Martin Avanzini (University of Innsbruck, Austria) gives the second talk in the fifth panel, Inference and Analysis on the 3rd day of the ICFP conference.
This paper introduces a new methodology for the complexity analysis of higher-order functional programs, which is based on three ingredients: a powerful type system for size analysis and a sound type inference procedure for it, a ticking monadic transformation and constraint solving. Noticeably, the presented methodology can be fully automated, and is able to analyse a series of examples which cannot be handled by most competitor methodologies. This is possible due to various key ingredients, and in particular an abstract index language and index polymorphism at higher ranks. A prototype implementation is available.

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International Conference on Functional Programming 2017

Constrained Type Families

Richard A. Eisenberg (Bryn Mawr College, USA) gives the first talk in the fifth panel, Inference and Analysis, on the 3rd day of the ICFP conference.
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International Conference on Functional Programming 2017

Inferring Scope through Syntactic Sugar

Justin Pombrio (Brown University, USA) gives the third talk in the fifth panel, Inference and Analysis on the 3rd day of the ICFP conference.
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Licence
Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Episode Information

Series
International Conference on Functional Programming 2017
People
Martin Avanzini
Keywords
computing
programming
technology
Department: Department of Computer Science
Date Added: 23/01/2018
Duration: 00:18:50

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