10,000 Performance Models per Minute – Scalability of the UG4 Simulation Framework

Vogel, Andreas; Reiter, Sebastian; Calotoiu, Alexandru; Wittum, Gabriel; Wolf, Felix; Strube, Alexandre; Nägel, Arne

doi:10.1007/978-3-662-48096-0_40

Contribution to a conference proceedings/Contribution to a book

FZJ-2016-01447

10,000 Performance Models per Minute – Scalability of the UG4 Simulation Framework

Vogel, A. (Corresponding author) ; Calotoiu, A. ; Strube, A.FZJ* ; Reiter, S. ; Nägel, A. ; Wolf, F. ; Wittum, G.

2015
Springe Berlin, Heidelberg
ISBN: 978-3-662-48095-3 (print), 978-3-662-48096-0 (electronic)

Euro-Par 2015: Parallel Processing / Träff, Jesper Larsson (Editor) ; 2015, Chapter 40 ;
21st International Conference on Parallel and Distributed Computing, Euro-Par 2015, Vienna, Austria, 24 Aug 2015 - 28 Aug 2015 Berlin, Heidelberg : Springe, Lecture Notes in Computer Science 9233, 519 - 531 (2015) [10.1007/978-3-662-48096-0_40]

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Please use a persistent id in citations: doi:10.1007/978-3-662-48096-0_40

Abstract: 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.

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