Imperial College London

Dr Dan Goodman

Faculty of EngineeringDepartment of Electrical and Electronic Engineering




+44 (0)20 7594 6264d.goodman Website




1001Electrical EngineeringSouth Kensington Campus






BibTex format

author = {Rossant, C and Fontaine, B and Goodman, DFM},
doi = {10.1016/j.jocs.2011.06.002},
journal = {Journal of Computational Science},
pages = {352--359},
title = {Playdoh: A lightweight Python library for distributed computing and optimisation},
url = {},
volume = {4},
year = {2013}

RIS format (EndNote, RefMan)

AB - Parallel computing is now an essential paradigm for high performance scientific computing. Most existing hardware and software solutions are expensive or difficult to use. We developed Playdoh, a Python library for distributing computations across the free computing units available in a small network of multicore computers. Playdoh supports independent and loosely coupled parallel problems such as global optimisations, Monte Carlo simulations and numerical integration of partial differential equations. It is designed to be lightweight and easy to use and should be of interest to scientists wanting to turn their lab computers into a small cluster at no cost. © 2011 Elsevier B.V.
AU - Rossant,C
AU - Fontaine,B
AU - Goodman,DFM
DO - 10.1016/j.jocs.2011.06.002
EP - 359
PY - 2013///
SN - 1877-7503
SP - 352
TI - Playdoh: A lightweight Python library for distributed computing and optimisation
T2 - Journal of Computational Science
UR -
VL - 4
ER -