2006 International Conference on Parallel Processing (ICPP'06) (2006)
Aug. 14, 2006 to Aug. 18, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPP.2006.11
Kevin J. Barker , Los Alamos National Laboratory
Scott Pakin , Los Alamos National Laboratory
Darren J. Kerbyson , Los Alamos National Laboratory
We present an analytic performance model of a largescale hydrodynamics code developed at Los Alamos National Laboratory. This modeling work is part of an ongoing effort to develop models and modeling techniques for large-scale codes and systems of interest to Los Alamos and the national laboratory community . Krak  comprises over 270,000 lines of source code and is capable of executing on a large number of parallel processors. Developing an accurate model is complicated by the irregular partitioning of input spatial grid cells to processors and the various material properties assigned to each cell. Model development proceeds by separating inter-processor communication from computation and modeling each individually. In addition, several approximations concerning subgrid size, shape, and material composition are made which reduce modeling complexity without adversely impacting prediction accuracy. We validate our model on several spatial grid sizes and processor configurations and demonstrate an accuracy at the largest scale on 512 processors to within a 3% error.
S. Pakin, K. J. Barker and D. J. Kerbyson, "A Performance Model of the Krak Hydrodynamics Application," 2006 International Conference on Parallel Processing (ICPP'06)(ICPP), Columbus, Ohio, 2006, pp. 245-254.