A practical concurrent binary search tree (2010)
| Venue: | in Proceedings of the 15th ACM SIGPLAN Symposium on Principals and Practice of Parallel Programming |
| Citations: | 7 - 1 self |
BibTeX
@INPROCEEDINGS{Bronson10apractical,
author = {Nathan G. Bronson and Jared Casper and Hassan Chafi and Kunle Olukotun},
title = {A practical concurrent binary search tree},
booktitle = {in Proceedings of the 15th ACM SIGPLAN Symposium on Principals and Practice of Parallel Programming},
year = {2010}
}
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Abstract
We propose a concurrent relaxed balance AVL tree algorithm that is fast, scales well, and tolerates contention. It is based on optimistic techniques adapted from software transactional memory, but takes advantage of specific knowledge of the the algorithm to reduce overheads and avoid unnecessary retries. We extend our algorithm with a fast linearizable clone operation, which can be used for consistent iteration of the tree. Experimental evidence shows that our algorithm outperforms a highly tuned concurrent skip list for many access patterns, with an average of 39 % higher singlethreaded throughput and 32 % higher multi-threaded throughput over a range of contention levels and operation mixes.
