Name
Abstract | ||
|---|---|---|
We present a performance prediction environment for large scale computers such as the Blue Gene machine. It consists of a parallel simulator, BigSim, for predicting performance of machines with a very large number of processors, and BigNetSim, which incorporates a pluggable module of a detailed contention-based network model. The simulators provide the ability to make performance predictions for very large machines such as Blue Gene/L. We illustrate the utility of our simulators using validation and prediction studies of several applications using smaller numbers of processors for simulations. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/s10766-005-3582-6 | International Journal of Parallel Programming |
Keywords | Field | DocType |
detailed contention-based network model,blue gene machine,blue gene,computation modeling,large parallel mach- ines,charmh,performance prediction environment,large machine,large parallel machine,parallel simulator,adaptive mpi.,simulation-based performance prediction,prediction study,performance prediction,large number,large scale computer,computer model,network model | Parallel simulation,BIGSIM,Computer science,Blue gene,Parallel computing,Theoretical computer science,Large numbers,Computational science,Performance prediction,Network model | Journal |
Volume | Issue | ISSN |
33 | 2 | 0885-7458 |
Citations | PageRank | References |
51 | 2.79 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gengbin Zheng | 1 | 829 | 55.03 |
| Terry Wilmarth | 2 | 67 | 5.52 |
| Praveen Jagadishprasad | 3 | 66 | 3.90 |
| Laxmikant V. Kale | 4 | 2871 | 248.18 |