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Conference proceeding
Safe Deferred Memory Reclamation with Types: 28TH EUROPEAN SYMPOSIUM ON PROGRAMMING
PROGRAMMING LANGUAGES AND SYSTEMS, ESOP 2019, v 11423, pp 88-116
01 Jan 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Memory management in lock-free data structures remains a major challenge in concurrent programming. Design techniques including read-copy-update (RCU) and hazard pointers provide workable solutions, and are widely used to great effect. These techniques rely on the concept of a grace period: nodes that should be freed are not deallocated immediately, and all threads obey a protocol to ensure that the deallocating thread can detect when all possible readers have completed their use of the object. This provides an approach to safe deallocation, but only when these subtle protocols are implemented correctly.
We present a static type system to ensure correct use of RCU memory management: that nodes removed from a data structure are always scheduled for subsequent deallocation, and that nodes are scheduled for deallocation at most once. As part of our soundness proof, we give an abstract semantics for RCU memory management primitives which captures the fundamental properties of RCU. Our type system allows us to give the first proofs of memory safety for RCU linked list and binary search tree implementations without requiring full verification.
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Details
- Title
- Safe Deferred Memory Reclamation with Types
- Creators
- Ismail Kuru - Drexel UniversityColin S. Gordon - Drexel University
- Contributors
- L Caires (Editor)
- Publication Details
- PROGRAMMING LANGUAGES AND SYSTEMS, ESOP 2019, v 11423, pp 88-116
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Nature
- Number of pages
- 29
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000681669300004
- Scopus ID
- 2-s2.0-85064952893
- Other Identifier
- 991019168271004721
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Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Software Engineering
- Computer Science, Theory & Methods