Jon Belof (currently at Lawrence Livermore National Laboratory), MPMC development team, University of South Florida
Developer(s)
University of South Florida
Initial release
2007; 17 years ago (2007)
Repository
github.com/mpmccode/mpmc
Written in
C, C++
Operating system
Linux, macOS, all Unix
Platform
IA-32, x86-64, NVidia CUDA
Available in
English
Type
Monte Carlo simulation
License
GPL 3
Website
code.google.com/p/mpmc/
Massively Parallel Monte Carlo (MPMC) is a Monte Carlo method package primarily designed to simulate liquids, molecular interfaces, and functionalized nanoscale materials. It was developed originally by Jon Belof and is now maintained by a group of researchers in the Department of Chemistry[1] and SMMARTT Materials Research Center[2] at the University of South Florida.[3] MPMC has been applied to the scientific research challenges of nanomaterials for clean energy, carbon sequestration, and molecular detection. Developed to run efficiently on the most powerful supercomputing platforms, MPMC can scale to extremely large numbers of CPUs or GPUs (with support provided for NVidia's CUDA architecture[4]). Since 2012, MPMC has been released as an open-source software project under the GNU General Public License (GPL) version 3, and the repository is hosted on GitHub.
^University of South Florida, Department of Chemistry
^University of South Florida, SMMARTT Materials Research Center
^"MPMC". GitHub. 9 April 2015. Retrieved 9 April 2015.
^Brant Tudor; Brian Space (2013). "Solving the Many-Body Polarization Problem on GPUs: Application to MOFs". Journal of Computational Science Education. 4 (1): 30–34. doi:10.22369/issn.2153-4136/4/1/5.
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