Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 102 tok/s
Gemini 2.5 Pro 51 tok/s Pro
GPT-5 Medium 30 tok/s
GPT-5 High 27 tok/s Pro
GPT-4o 110 tok/s
GPT OSS 120B 475 tok/s Pro
Kimi K2 203 tok/s Pro
2000 character limit reached

Safe Memory Reclamation Techniques (2509.02457v1)

Published 2 Sep 2025 in cs.DC, cs.DS, cs.PF, and cs.PL

Abstract: Safe memory reclamation is crucial to memory safety for optimistic and lock-free concurrent data structures in non garbage collected programming languages. However, several challenges arise in designing an ideal safe memory reclamation algorithm, including achieving high speed and scalability, easy of use for programmers, applicability to wide class of data structures, managing the large memory footprint caused by delayed freeing of memory for safety and performance, and avoiding asymmetric overhead on data structure operations. Several approaches to designing safe memory reclamation algorithms are studied by blending ideas and tools from across the hardware-software stack. These solutions cross traditional boundaries and exploit features exposed at different layers.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

  • The paper introduces the Neutralization Paradigm via NBR and NBR+, which prevent use-after-free errors through checkpoint and reservation mechanisms.
  • The Reactive Synchronization Paradigm, using the POP algorithm, decentralizes synchronization to reduce overhead and improve performance.
  • The Hardware-Software Co-Design Paradigm leverages cache coherence events to optimize memory reclamation speed and resource efficiency.

Summary of "Safe Memory Reclamation Techniques"

Introduction

The paper "Safe Memory Reclamation Techniques" addresses concurrent memory reclamation challenges associated with non-blocking data structures, which potentially lead to use-after-free errors. These errors arise when parts of a program access memory addresses that have already been reclaimed. The authors propose three distinct paradigms to address these issues effectively. The paradigms aim to improve speed, reduce the memory footprint, enhance applicability to various data structures, and ensure ease of use without changing data structures' layout or relying on specific architecture or compiler support.

Neutralization Paradigm

The first contribution is the Neutralization Paradigm, implemented through the Neutralization-Based Reclamation (NBR) algorithm and its enhanced version, NBR+. This algorithm coordinates memory reclamation by temporarily suspending threads through POSIX signals, making them either drop existing references or confirm a reservation state. This prevents unsafe memory reclamation.

Implementation:

  • Checkpoint and Reentry Procedures: Key to these algorithms are checkpoint functions which help reset thread operations upon signal reception unless they are within a write phase where they hold reservations.
  • Reservation Mechanism: Simple atomic operations act as a basis for maintaining reservations without extensive per-node coordination.

NBR(+) outperforms many existing epoch and hazard pointer techniques by ensuring bounded garbage and consistent performance across workloads, establishing a robust, easy-to-integrate framework.

Reactive Synchronization Paradigm

Reactive synchronization eliminates synchronization overhead typically incurred by unreasonable reservation publishing before each read operation by implementing the Publish-On-Ping (POP) algorithm.

Implementation:

  • Signal-Based Coordination: Threads temporarily keep reservations private, publishing them upon receipt of a signal ping from reclaiming threads. This decentralizes synchronization demands to only when necessary.

Three POP-based adaptations were proposed for existing techniques (Hazard Pointers POP, Hazard Eras POP, and a hybrid EpochPOP), enhancing the performance while maintaining safety from use-after-free errors. This also allows designing algorithms where the epochs act as a fast path until a reclamation is stunted, in which case POP facilitates continued operation with minimal memory overhead.

Hardware-Software Co-Design Paradigm

The paper's third paradigm leverages hardware-software co-design to address safe memory reclamation by utilizing cache coherence hardware events to detect use-after-free error conditions.

Implementation:

  • Conditional Access (CA): This paradigm involves proposing new hardware memory access instructions that leverage cache coherence to quickly detect and preemptively handle potentially unsafe memory accesses, allowing for immediate reclamation akin to sequential data structures' efficiencies.

The Conditional Access paradigm results in both performance enhancements and increased resource efficiency, making it ideal for high-throughput environments like modern data centers.

Conclusion

Overall, this work explores solutions to long-standing challenges within concurrent memory reclamation. By addressing inefficiencies and gaps in previous methods, the paper provides a comprehensive framework through three paradigms that can substantially optimize memory reclamation processes across a variety of concurrent data structures. Potential future research may explore extending the neutralization applicability or integrating Conditional Access in additional hardware implementations.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Authors (1)

X Twitter Logo Streamline Icon: https://streamlinehq.com

alphaXiv

  1. Safe Memory Reclamation Techniques (1 like, 0 questions)