Cosmological Simulations on a Grid of Computers

Benjamin Depardon 1, 2, * Eddy Caron 1 Frédéric Desprez 1 H.M. Courtois 3 Jeremy Blaizot 4
* Corresponding author
2 GRAAL - Algorithms and Scheduling for Distributed Heterogeneous Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
3 Cosmologie Observationnelle
IPNL - Institut de Physique Nucléaire de Lyon
Abstract : The work presented in this paper aims at restricting the input parameter values of the semi-analytical model used in Galics and MoMaF, so as to derive which parameters influence the most the results, e.g., star forma- tion, feedback and halo recycling efficiencies, etc. Our approach is to proceed empirically: we run lots of simulations and derive the correct ranges of values. The computation time needed is so large, that we need to run on a grid of com- puters. Hence, we model Galics and MoMaF execution time and output files size, and run the simulation using a grid middleware: Diet. All the complexity of accessing resources, scheduling simulations and managing data is harnessed by Diet and hidden behind a web portal accessible to the users.
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Benjamin Depardon, Eddy Caron, Frédéric Desprez, H.M. Courtois, Jeremy Blaizot. Cosmological Simulations on a Grid of Computers. [Research Report] RR-7093, Inria. 2009, pp.15. ⟨inria-00431637⟩

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