Title | ||
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More Efficient Executions of Monte Carlo Fusion Codes by Means of Montera: The ISDEP Use Case |
Abstract | ||
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ISDEP (Integrator of Stochastic Differential Equations for Plasmas) is a Monte Carlo code that solves the plasma dynamics in a fusion device and perfectly scales on distributed computing platforms. Montera is a recent framework developed for achieving Grid efficient executions of Monte Carlo applications, as ISDEP is. In this work, the improvement of performing the calculations of ISDEP with Montera, which rise up to 34.9%, is shown as well as an analysis on the implications it could have, which aim to show to the fusion research community the benefits of using Montera. |
Year | DOI | Venue |
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2011 | 10.1109/PDP.2011.46 | PDP |
Keywords | Field | DocType |
dynamic scheduling,monte carlo method,stochastic processes,mathematical model,monte carlo,distributed processing,trajectory,differential equations,plasmas,heuristic algorithm,monte carlo methods,use case,tokamaks,grid,grid computing | Differential equation,Monte Carlo method,Grid computing,Computer science,Parallel computing,Stochastic process,Integrator,Stochastic differential equation,Dynamic priority scheduling,Grid | Conference |
ISSN | Citations | PageRank |
1066-6192 | 2 | 0.37 |
References | Authors | |
4 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Manuel A. Rodriguez-Pascual | 1 | 21 | 7.57 |
Antonio J. Rubio | 2 | 466 | 36.14 |
Rafael Mayo | 3 | 11 | 4.00 |
Andrés Bustos | 4 | 5 | 1.29 |
Francisco Castejón | 5 | 2 | 0.37 |
Ignacio Martín Llorente | 6 | 406 | 38.44 |