Relational Cost Analysis for Functional-Imperative Programs
December 10, 2018 Β· Declared Dead Β· π Proc. ACM Program. Lang.
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Authors
Weihao Qu, Marco Gaboardi, Deepak Garg
arXiv ID
1812.04090
Category
cs.PL: Programming Languages
Cross-listed
cs.LO
Citations
13
Venue
Proc. ACM Program. Lang.
Last Checked
3 months ago
Abstract
Relational cost analysis aims at formally establishing bounds on the difference in the evaluation costs of two programs. As a particular case, one can also use relational cost analysis to establish bounds on the difference in the evaluation cost of the same program on two different inputs. One way to perform relational cost analysis is to use a relational type-and-effect system that supports reasoning about relations between two executions of two programs. Building on this basic idea, we present a type-and-effect system, called ARel, for reasoning about the relative cost of array-manipulating, higher-order functional-imperative programs. The key ingredient of our approach is a new lightweight type refinement discipline that we use to track relations (differences) between two arrays. This discipline combined with Hoare-style triples built into the types allows us to express and establish precise relative costs of several interesting programs which imperatively update their data.
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