# Li Todo Maggs Krauth 2020

### From Werner KRAUTH

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[http://arxiv.org/pdf/2004.11040 Electronic version (from arXiv)] | [http://arxiv.org/pdf/2004.11040 Electronic version (from arXiv)] | ||

- | [https://github.com/jellyfysh/ParaSpheres https://github.com/jellyfysh/ParaSpheres GitHub repertory] from which the ParaSpheres programs described in the paper (in Python, Fortran, C++, and shell) may be [https://en.wikipedia.org/wiki/Fork_(software_development) forked], cloned, or simply copied. | + | [https://github.com/jellyfysh/ParaSpheres https://github.com/jellyfysh/ParaSpheres GitHub repository] from which the ParaSpheres programs described in the paper (in Python, Fortran, C++, and shell) may be [https://en.wikipedia.org/wiki/Fork_(software_development) forked], cloned, or simply copied. |

## Current revision

**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)

https://github.com/jellyfysh/ParaSpheres GitHub repository from which the ParaSpheres programs described in the paper (in Python, Fortran, C++, and shell) may be forked, cloned, or simply copied.