Flat combining and the synchronization-parallelism tradeoff

  • Authors:
  • Danny Hendler;Itai Incze;Nir Shavit;Moran Tzafrir

  • Affiliations:
  • Ben-Gurion University, Beer-Sheva, Israel;Tel-Aviv University, Tel-Aviv, Israel;Tel-Aviv University, Tel-Aviv, Israel;Tel-Aviv University, Tel-Aviv, Israel

  • Venue:
  • Proceedings of the twenty-second annual ACM symposium on Parallelism in algorithms and architectures
  • Year:
  • 2010

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Abstract

Traditional data structure designs, whether lock-based or lock-free, provide parallelism via fine grained synchronization among threads. We introduce a new synchronization paradigm based on coarse locking, which we call flat combining. The cost of synchronization in flat combining is so low, that having a single thread holding a lock perform the combined access requests of all others, delivers, up to a certain non-negligible concurrency level, better performance than the most effective parallel finely synchronized implementations. We use flat-combining to devise, among other structures, new linearizable stack, queue, and priority queue algorithms that greatly outperform all prior algorithms.