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authorWladimir J. van der Laan <laanwj@gmail.com>2018-03-22 14:28:19 +0100
committerWladimir J. van der Laan <laanwj@gmail.com>2018-03-22 14:28:37 +0100
commita6926b065d654a448937f9f1e2999ac48d50a984 (patch)
treef08bb4e6b86085b2d068140d82f86d5eb86f1213 /test/functional/feature_uacomment.py
parent6d36f599f88e26ba39557d7b606ac9a3c8c3165a (diff)
parent5fbf7c478a996974502d5d787b2ccf2fcc91ac78 (diff)
Merge #12048: Use best-fit strategy in Arena, now O(log(n)) instead O(n)
5fbf7c4 fix nits: variable naming, typos (Martin Ankerl) 1e0ee90 Use best-fit strategy in Arena, now O(log(n)) instead O(n) (Martin Ankerl) Pull request description: This replaces the first-fit algorithm used in the Arena with a best-fit. According to "Dynamic Storage Allocation: A Survey and Critical Review", Wilson et. al. 1995, http://www.scs.stanford.edu/14wi-cs140/sched/readings/wilson.pdf, both startegies work well in practice. The advantage of using best-fit is that we can switch the O(n) allocation to O(log(n)). Additionally, some previously O(log(n)) operations are now O(1) operations by using hash maps. The end effect is that the benchmark runs about 2.5 times faster on my machine: # Benchmark, evals, iterations, total, min, max, median old: BenchLockedPool, 5, 530, 5.25749, 0.00196938, 0.00199755, 0.00198172 new: BenchLockedPool, 5, 1300, 5.11313, 0.000781493, 0.000793314, 0.00078606 I've run all unit tests and benchmarks, and increased the number of iterations so that BenchLockedPool takes about 5 seconds again. Tree-SHA512: 6551e384671f93f10c60df530a29a1954bd265cc305411f665a8756525e5afe2873a8032c797d00b6e8c07e16d9827465d0b662875433147381474a44119ccce
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