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On the time and space complexity of randomized test-and-set

Abstract : We study the time and space complexity of randomized Test-And-Set (TAS) implementations from atomic read/write registers in asynchronous shared memory models with $n$ processes. We present an adaptive TAS algorithm with an expected (individual) step complexity of $O(\log^\ast k)$, for contention $k$, against the oblivious adversary, improving a previous (non-adaptive) upper bound of $O(\log\log n)$ (Alistarh and Aspnes, 2011). We also present a modified version of the adaptive RatRace TAS algorithm (Alistarh et al., 2010), which improves the space complexity from $O(n^3)$ to $O(n)$, while maintaining logarithmic expected step complexity against the adaptive adversary. We complement this upper bound with an $\Omega(\log n)$ lower bound on the space complexity of any TAS algorithm that has the nondeterministic solo-termination property (which is a weaker progress condition than wait-freedom). No non-trivial lower bounds on the space requirements of TAS were known prior to this work.
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Contributor : George Giakkoupis Connect in order to contact the contributor
Submitted on : Monday, August 6, 2012 - 5:07:44 PM
Last modification on : Monday, June 27, 2022 - 3:05:55 AM
Long-term archiving on: : Wednesday, November 7, 2012 - 3:22:53 AM


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  • HAL Id : hal-00722947, version 1


George Giakkoupis, Philipp Woelfel. On the time and space complexity of randomized test-and-set. PODC - 31st Annual ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing, Jul 2012, Madeira, Portugal. ⟨hal-00722947⟩



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