Numerically addressing scientific questions such as simulating drug diffusion through the human stratum corneum is a challenging task requiring complex codes and plenty of computational resources. The UG4 framework is used for such simulations, and though empirical tests have shown good scalability so far, its sheer size precludes analytical modeling of the entire code. We have developed a process which combines the power of our automated performance modeling method and the workflow manager JUBE to create insightful models for entire UG4 simulations. Examining three typical use cases, we identified and resolved a previously unknown latent scalability bottleneck. In collaboration with the code developers, we validated the performance expectations in each of the use cases, creating over 10,000 models in less than a minute, a feat previously impossible without our automation techniques.
|Original language||English (US)|
|Title of host publication||Euro-Par 2015|
|Subtitle of host publication||Parallel Processing - 21st International Conference on Parallel and Distributed Computing, Proceedings|
|Editors||Jesper Larsson Traff, Sascha Hunold, Francesco Versaci|
|Number of pages||13|
|State||Published - 2015|
|Event||21st International Conference on Parallel and Distributed Computing, Euro-Par 2015 - Vienna, Austria|
Duration: Aug 24 2015 → Aug 28 2015
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||21st International Conference on Parallel and Distributed Computing, Euro-Par 2015|
|Period||08/24/15 → 08/28/15|
Bibliographical noteFunding Information:
Financial support from the DFG Priority Program 1648 Software for Exascale Computing (SPPEXA) is gratefully acknowledged. The authors also thank the Gauss Centre for Supercomputing (GCS) for providing computing time on the GCS share of the supercomputer JUQUEEN at Jülich Supercomputing Centre (JSC).
© Springer-Verlag Berlin Heidelberg 2015.
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)