Iron: managing obligations in higher-order concurrent separation logic

Precise management of resources and the obligations they impose, such as the need to dispose of memory, close locks, and release file handles, is hard---especially in the presence of concurrency, when some resources are shared, and different threads operate on them concurrently. We present Iron, a n...

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Bibliographic Details
Published in:Proceedings of ACM on programming languages Vol. 3; no. POPL; pp. 1 - 30
Main Authors: Bizjak, Aleš, Gratzer, Daniel, Krebbers, Robbert, Birkedal, Lars
Format: Journal Article
Language:English
Published: New York, NY, USA ACM 02.01.2019
Subjects:
Logic
Operational semantics
Program reasoning
Program semantics
Program verification
Programming logic
Semantics and reasoning
Separation logic
Theory of computation
resource management
Separation logic
concurrency
ISSN:2475-1421, 2475-1421
Online Access:Get full text
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Summary:Precise management of resources and the obligations they impose, such as the need to dispose of memory, close locks, and release file handles, is hard---especially in the presence of concurrency, when some resources are shared, and different threads operate on them concurrently. We present Iron, a novel higher-order concurrent separation logic that allows for precise reasoning about resources that are transferable among dynamically allocated threads. In particular, Iron can be used to show the correctness of challenging examples, where the reclamation of memory is delegated to a forked-off thread. We show soundness of Iron by means of a model of Iron, defined on top of the Iris base logic, and we use this model to prove that memory resources are accounted for precisely and not leaked. We have formalized all of the developments in the Coq proof assistant.
ISSN:2475-1421
2475-1421
DOI:10.1145/3290378