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Wed 20 Jan 2016 17:20 - 17:45 at Grand Bay South - Track 2: Decidability and complexity Chair(s): C.-H. Luke Ong

In this paper, we analyze the complexity of functional programs written in the interaction net computation model, an asynchronous, parallel and confluent model that generalize linear logic proof nets. Relying on the use of sized and scheduled types, we establish concrete time, space and space-time complexity bounds for both sequential and parallel reductions of interaction-net systems by suitably assigning complexity potentials to typed nodes. The relevance of this approach is illustrated on archetypal programming examples. The provided analysis is precise, compositional and is, in theory, not restricted to particular complexity classes.

Wed 20 Jan
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16:30 - 17:45: Research Papers - Track 2: Decidability and complexity at Grand Bay South
Chair(s): C.-H. Luke OngUniversity of Oxford, UK
POPL-2016-papers16:30 - 16:55
Oded PadonTel Aviv University, Neil ImmermanUniversity of Massachusetts, Amherst, Sharon Shoham, Aleksandr KarbyshevTel Aviv University, Mooly SagivTel Aviv University
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POPL-2016-papers16:55 - 17:20
Rahman Lavaee, Chen DingUniversity of Rochester
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POPL-2016-papers17:20 - 17:45
Stéphane GimenezUniversity of Innsbruck, Georg MoserUniversity of Innsbruck
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