Li Todo Maggs Krauth 2020

From Werner KRAUTH

(Difference between revisions)
Jump to: navigation, search

Revision as of 14:26, 24 April 2020

B. Li, S. Todo, A. C. Maggs, W. Krauth Multithreaded event-chain Monte Carlo with local times arXiv:2004.11040 (2020)


Abstract We present a multithreaded event-chain Monte Carlo algorithm (ECMC) for hard spheres. Threads synchronize at infrequent breakpoints and otherwise scan for local horizon violations. Using a mapping onto absorbing Markov chains, we rigorously prove the correctness of a sequential-consistency implementation for small test suites. On x86 and ARM processors, a C++ (OpenMP) implementation that uses compare-and-swap primitives for data access achieves considerable speed-up with respect to single-threaded code. The generalized birthday problem suggests that for the number of threads scaling as the square root of the number of spheres, the horizon-violation probability remains small for a fixed simulation time. We provide C++ and Python open-source code that reproduces all our results.

Electronic version (from arXiv)

Personal tools