Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
5 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Effect-Dependent Transformations for Concurrent Programs (1510.02419v1)

Published 8 Oct 2015 in cs.PL and cs.LO

Abstract: We describe a denotational semantics for an abstract effect system for a higher-order, shared-variable concurrent programming language. We prove the soundness of a number of general effect-based program equivalences, including a parallelization equation that specifies sufficient conditions for replacing sequential composition with parallel composition. Effect annotations are relative to abstract locations specified by contracts rather than physical footprints allowing us in particular to show the soundness of some transformations involving fine-grained concurrent data structures, such as Michael-Scott queues, that allow concurrent access to different parts of mutable data structures. Our semantics is based on refining a trace-based semantics for first-order programs due to Brookes. By moving from concrete to abstract locations, and adding type refinements that capture the possible side-effects of both expressions and their concurrent environments, we are able to validate many equivalences that do not hold in an unrefined model. The meanings of types are expressed using a game-based logical relation over sets of traces. Two programs $e_1$ and $e_2$ are logically related if one is able to solve a two-player game: for any trace with result value $v_1$ in the semantics of $e_1$ (challenge) that the player presents, the opponent can present an (response) equivalent trace in the semantics of $e_2$ with a logically related result value $v_2$.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (3)
  1. Nick Benton (3 papers)
  2. Martin Hofmann (29 papers)
  3. Vivek Nigam (19 papers)
Citations (15)

Summary

We haven't generated a summary for this paper yet.