Abstract
There are a number of problems that can only be solved in a realistic time frame by using high performance computing environments. Large scale Monte Carlo simulations are an example of such problems. There are many different high performance environments ranging from massively parallel processors to clusters of distributed workstations. Here we present our experiences of developing a simulation code across the range of parallel environments, in some cases the transition from one architecture to another is virtually seamless, in others completely new algorithms have to be developed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
S.A. Williams, P.C.H. Mitchell and G.E. Fagg, A Cluster Computing Implementation of a Monte Carlo Implementation of a Particle Growth Mechanism, Parallel Algorithms and Applications, 4, 1994, pp 275–280.
G.E. Fagg and S.A. Williams, Improved Program Performance using a Cluster of Workstations, Parallel Algorithms and Applications, 7, 1995, pp 233–236.
I. Foster, Designing and Building Parallel Programs, Addison Wesley,1995.
P. Sunderam, Pvm: A Framework for Parallel Distributed Computing, Concurrency Practice and Experience,1990,2, pp.315–339.
K.A. Smith, S.F. Reddaway, and D.M. Scott, Very High Performance Pseudo-random Number Generation on the DAP, Computational Physics Communications, 1985, 37 pp 239–244.
N.M. Maclaren, The Generation of Multiple Independent Sequences of Pseudorandom Numbers, Applied Statistics, 1989, 38, pp 351–359.
K.P. Williams and S.A. Williams, Implementation of an Efficient and Powerful Parallel Pseudo-random Number Generator, EuroPVM’95, J.Dongarra et al (eds), 1995, ppl97–202.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Springer-Verlag London Limited
About this paper
Cite this paper
Williams, S.A., Fagg, G.E. (1996). A Comparison of Developing Codes for Distributed and Parallel Architectures. In: Jesshope, C., Shafarenko, S. (eds) UK Parallel ’96. Springer, London. https://doi.org/10.1007/978-1-4471-1504-5_8
Download citation
DOI: https://doi.org/10.1007/978-1-4471-1504-5_8
Publisher Name: Springer, London
Print ISBN: 978-3-540-76068-9
Online ISBN: 978-1-4471-1504-5
eBook Packages: Springer Book Archive