Publish on Ping: A Better Way to Publish Reservations in Memory Reclamation for Concurrent Data Structures

Safe memory reclamation techniques that utilize per read reservations, such as hazard pointers and hazard eras, often cause significant overhead in traversals of linked concurrent data structures. This is primarily due to the need to announce a reservation, and fence to make it globally visible (and enforce appropriate ordering), before each read. In real world read-intensive workloads, this overhead is amplified because, even if relatively little memory reclamation actually occurs, the full overhead of reserving records before use is still incurred while traversing data structures.

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Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1145/3710848.3710890
Citations
2
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
2.97
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article

Publish on Ping: A Better Way to Publish Reservations in Memory Reclamation for Concurrent Data Structures

Ajay Singh, Trevor Brown
2 citations
Distributed systems and fault tolerance
2.97
article

Publish on Ping: A Better Way to Publish Reservations in Memory Reclamation for Concurrent Data Structures

Ajay Singh, Trevor Brown
article en
2 citations

Abstract

Safe memory reclamation techniques that utilize per read reservations, such as hazard pointers and hazard eras, often cause significant overhead in traversals of linked concurrent data structures. This is primarily due to the need to announce a reservation, and fence to make it globally visible (and enforce appropriate ordering), before each read. In real world read-intensive workloads, this overhead is amplified because, even if relatively little memory reclamation actually occurs, the full overhead of reserving records before use is still incurred while traversing data structures.

University of Waterloo (CA)
Climate action
Openalex Percentile: Top 10%
Distributed systems and fault tolerance
2.97
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