有效地回收并发搜索数据结构中的内存,同时限制浪费的内存

D. Solomon, Adam Morrison
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引用次数: 3

摘要

非阻塞数据结构面临安全内存回收(SMR)问题。在这些算法中,从数据结构中删除的节点不能立即回收(释放),因为其他线程可能即将访问它。SMR方案的目标是尽量减少无法回收的已删除节点的数量(称为浪费的内存),同时降低运行时开销。SMR方案是自包含的,不需要特定的操作系统特性也是可取的。没有任何现有的自包含SMR方案能够在不施加显著运行时开销的情况下保证对浪费内存的预定限制。在本文中,我们介绍了边界指针(MP),这是第一个非阻塞的,自包含的SMR方案,具有预定的有限内存浪费和低运行时开销。MP的目标是搜索数据结构,如二叉树和跳跃表,它们是重要的SMR客户端,也是其高开销的受害者。MP的新颖之处在于它保护数据结构的逻辑子集不被回收,而不是像以前那样保护物理位置(显式节点)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficiently reclaiming memory in concurrent search data structures while bounding wasted memory
Nonblocking data structures face a safe memory reclamation (SMR) problem. In these algorithms, a node removed from the data structure cannot be reclaimed (freed) immediately, as other threads may be about to access it. The goal of an SMR scheme is to minimize the number of removed nodes that cannot be reclaimed---called wasted memory---while imposing low run-time overhead. It is also desirable for an SMR scheme to be self-contained and not require specific OS features. No existing self-contained SMR scheme can guarantee a predetermined bound on wasted memory without imposing significant run-time overhead. In this paper, we introduce margin pointers (MP), the first nonblocking, self-contained SMR scheme featuring both predetermined bounded wasted memory and low run-time overhead. MP targets search data structures, such as binary trees and skip lists, which are important SMR clients and also victims of its high overhead. MP's novelty lies in its protecting logical subsets of the data structure from being reclaimed, as opposed to previous work, which protects physical locations (explicit nodes).
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