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Gradual Session Types

Series
International Conference on Functional Programming 2017
Video Embed
Peter Thiemann (University of Freiburg, Germany) gives the fourth talk in the third panel, Contracts and Sessions, on the 3rd day of the ICFP conference.
Co-written by Atsushi Igarashi (Kyoto University, Japan), Vasco Vasconcelos (University of Lisbon, Portugal), Philip Wadler (University of Edinburgh, UK).

Session types are a rich type discipline, based on linear types, that lift the sort of safety claims that come with type systems to communications. However, web-based applications and micro services are often written in a mix of languages, with type disciplines in a spectrum between static and dynamic typing. Gradual session types address this mixed setting by providing a framework which grants seamless transition between statically typed handling of sessions and any required degree of dynamic typing.

We propose GradualGV as an extension of the functional session type system GV with dynamic types and casts. We demonstrate type and communication safety as well as blame safety, thus extending previous results to functional languages with session-based communication. The interplay of linearity and dynamic types requires a novel approach to specifying the dynamics of the language.

More in this series

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International Conference on Functional Programming 2017

Faster Coroutine Pipelines

Mike Spivey, University of Oxford, UK, gives the first presentation in the second panel, Functional Programming Techniques, in the ICFP 2017 conference.
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International Conference on Functional Programming 2017

Verifying Efficient Function Calls in CakeML

Scott Owens University of Kent, UK, gives the third talk in the first panel, Low-level and Systems Programming, on the 2nd day of the ICFP conference.
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Creative Commons 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
Peter Thiemann
Keywords
technology
computing
programming
Department: Department of Computer Science
Date Added: 22/01/2018
Duration: 00:20:37

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