Resizable, Scalable, Concurrent Hash Tables via Relativistic Programming

@inproceedings{Triplett2011ResizableSC,
  title={Resizable, Scalable, Concurrent Hash Tables via Relativistic Programming},
  author={Josh Triplett and Paul E. McKenney and Jonathan Walpole},
  booktitle={USENIX Annual Technical Conference},
  year={2011}
}
We present algorithms for shrinking and expanding a hash table while allowing concurrent, wait-free, linearly scalable lookups. These resize algorithms allow ReadCopy Update (RCU) hash tables to maintain constanttime performance as the number of entries grows, and reclaim memory as the number of entries decreases, without delaying or disrupting readers. We call the resulting data structure a relativistic hash table. Benchmarks of relativistic hash tables in the Linux kernel show that lookup… CONTINUE READING
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