Solving problems on concurrent processors
Solving problems on concurrent processors
Computer simulation using particles
Computer simulation using particles
Measuring parallel processor performance
Communications of the ACM
Numerical methods for ordinary differential systems: the initial value problem
Numerical methods for ordinary differential systems: the initial value problem
Computational physics: problem solving with computers
Computational physics: problem solving with computers
A Guide to Monte Carlo Simulations in Statistical Physics
A Guide to Monte Carlo Simulations in Statistical Physics
Validity of the single processor approach to achieving large scale computing capabilities
AFIPS '67 (Spring) Proceedings of the April 18-20, 1967, spring joint computer conference
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The topic of parallelization of physical simulations has become an important part of scientific work today. However, except for the simple Ising spin model, simulations of various magnetic systems, e.g. the Heisenberg model, on small to moderate size cluster computers were not in strong focus within the field of Computational Physics. The work presented in this paper is a contribution to fill exactly this gap. The feasibility and the benefits of distributing such simulations among several processes are demonstrated by means of simulations of three physical models in this context: a 2-dimensional Ising model, the Heisenberg model, and a magneto-dipolar glass model. Herein we present these models and the applied parallelizational techniques. In the following, we show that with our parallelization scheme an almost ideal speed-up can be achieved on cluster computers by using MPI.