Performance analysis of direct N-body algorithms for astrophysical simulations on distributed systems
arXiv:astro-ph/0412206 · doi:10.1016/j.parco.2007.01.001
Abstract
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.
22 pages, 8 figures, accepted for publication in Parallel Computing
References in corpus (1)
Cited by in corpus (11)
- High Performance Direct Gravitational N-body Simulations on Graphics Processing Units -- II: An implementation in CUDA
- SAPPORO: A way to turn your graphics cards into a GRAPE-6
- Graphic-Card Cluster for Astrophysics (GraCCA) -- Performance Tests
- Gravitational tree-code on graphics processing units: implementation in CUDA
- A parallel gravitational N-body kernel
- A Light-Weight Communication Library for Distributed Computing
- High Performance Gravitational N-body Simulations on a Planet-wide Distributed Supercomputer
- A pilgrimage to gravity on GPUs
- Distributed N-body Simulation on the Grid Using Dedicated Hardware
- Performance analysis of parallel gravitational -body codes on large GPU cluster
- From Thread to Transcontinental Computer: Disturbing Lessons in Distributed Supercomputing