Name
Abstract | ||
|---|---|---|
We (the CAGE team) present a possible solution to the scaling problem that is inherent to cosmological simulations of structure formation. With an increasing number of computational nodes the resources that are lost due to communication overhead and load balancing is growing and thereby limiting the problem sizes and/or resolution level that can be computed in a reasonable amount of time. To alleviate this problem, we propose the HECA (Hierarchical Ensemble Computing Algorithm). Instead of running a full-box cosmological simulation, we perform multiple (only limited by the number of processing nodes) zoom-in simulations concurrently that are independent of each other and thereby providing a perfect scaling to large core counts. In these simulations we can reach a much higher resolution level that would be unfeasible to achieve in a full-box simulation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2484762.2484776 | Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery |
Keywords | Field | DocType |
problem size,increasing number,resolution level,cosmological hydrodynamic simulation,higher resolution level,scaling problem,full-box simulation,cage team,perfect scaling,full-box cosmological simulation,zoom-in simulations concurrently,galaxy evolution | Load balancing (computing),Computer science,Parallel computing,Petascale computing,Scaling,Limiting,Structure formation | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ludwig Oser | 1 | 0 | 0.34 |
| Kentaro Nagamine | 2 | 0 | 0.34 |
| Jeremiah P. Ostriker | 3 | 13 | 5.35 |
| Manisha Gajbe | 4 | 0 | 1.01 |
| Greg Bryan | 5 | 0 | 0.34 |
| Renyue Cen | 6 | 0 | 0.68 |