However one limitation on the use of GPUs on N-body simulation to study the details on the mass distribution, is that these systems must have millions or even billions of particles, making the use of particle-particle method in one GPU unfeasible due to memory or time computational constraints.
Explore Further: Makino, J. Ajmera, P. It gave robust initial results, but was limited to systems with a small amount of particles.rodando pela scandinavia puxando bi-trem madeira
Save to Library. Create Alert. A new gravitational n-body simulation algorithm for investigation of cosmological chaotic advection.
The cosmological simulation code gadget-2. Warren, M. It became common and convenient to use single GPUs to implement different kinds of simulations, or to group them in a grid, so the computational power can be highly increased, while the power consumption and physical space increase are significantly lower.
From This Paper Figures, tables, and topics from this paper.
Showing 1-5 of 5 citations. The new programmable graphical processor units GPUs are now often used as high parallel mathematical co-processors, allowing many computational-intensive problems to be executed in less time.
The simulator uses the direct particle-particle method to calculate the forces between the particles, so we eliminate the errors included on the hierarchical strategies.
Citations Publications citing this paper. Journal of Computational Physics, 1—34 2011 Google Scholar. This process is experimental and the keywords may be updated as the learning algorithm improves. Sort by: Skip to main content. A hierarchical O N log N force-calculation algorithm.
Oct-tree Method on GPU: Forum 2008. GPU Gems 3. Stalder, D. Nyland, L. Skip to search form Skip to main content.