Lock-Free Multiway Search Trees

Michael Spiegel, P. Reynolds
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引用次数: 13

Abstract

We propose a lock-free multiway search tree algorithm for concurrent applications with large working set sizes. Our algorithm is a variation of the randomized skip tree. We relax the ordering constraints among the nodes in the original skip tree definition. Optimal paths through the tree are temporarily violated by mutation operations, and eventually restored using online node compaction. Experimental evidence shows that our lock-free skip tree outperforms a highly tuned concurrent skip list under workloads of various proportions of operations and working set sizes. The max throughput of our algorithm is on average 41% higher than the throughput of the skip list, and 129% higher on the workload of the largest working set size and read-dominated operations.
无锁多路搜索树
我们提出了一种无锁的多路搜索树算法,用于具有大工作集大小的并发应用。我们的算法是随机跳跃树的一种变体。我们放宽了原跳跃树定义中节点之间的排序约束。通过树的最优路径被突变操作暂时破坏,并最终使用在线节点压缩恢复。实验证据表明,在各种操作比例和工作集大小的工作负载下,我们的无锁跳跃树优于高度调优的并发跳跃表。我们算法的最大吞吐量平均比跳跃表的吞吐量高41%,在最大工作集大小和读取主导操作的工作负载上高出129%。
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