Journal of Computational Physics
Time Warp Cancellation Optimisations on High Latency Networks
DS-RT '03 Proceedings of the Seventh IEEE International Symposium on Distributed Simulation and Real-Time Applications
Unlocking the Performance of the BlueGene/L Supercomputer
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Regular Paper: Interactive N-Body Simulations On the Grid: HLA Versus MPI
International Journal of High Performance Computing Applications
Simulating N-Body Systems on the Grid Using Dedicated Hardware
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Parallel Discrete Event N-Body Dynamics
PADS '11 Proceedings of the 2011 IEEE Workshop on Principles of Advanced and Distributed Simulation
A grid service for management of multiple HLA federate processes
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
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We discuss the performance of direct summation codes used in the simulation of astrophysical stellar systems on highly distributed architectures. These codes compute the gravitational interaction among stars in an exact way and have an O(N^2) scaling with the number of particles. They can be applied to a variety of astrophysical problems, like the evolution of star clusters, the dynamics of black holes, the formation of planetary systems, and cosmological simulations. The simulation of realistic star clusters with sufficiently high accuracy cannot be performed on a single workstation but may be possible on parallel computers or grids. We have implemented two parallel schemes for a direct N-body code and we study their performance on general purpose parallel computers and large computational grids. We present the results of timing analyzes conducted on the different architectures and compare them with the predictions from theoretical models. We conclude that the simulation of star clusters with up to a million particles will be possible on large distributed computers in the next decade. Simulating entire galaxies however will in addition require new hybrid methods to speedup the calculation.