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Evaluating the performance of parallel subsurface simulators: An illustrative example with PFLOTRAN.
G E Hammond1, P C Lichtner2, R T Mills3
1Applied Systems Analysis and Research, Sandia National Laboratories Albuquerque, New Mexico, USA.
Water Resources Research
|December 16, 2014
Summary
This study evaluates the performance of the PFLOTRAN code for subsurface simulations on the Jaguar supercomputer. PFLOTRAN demonstrates strong scalability for various realistic scenarios, aiding subsurface scientists in predicting simulator performance.
Area of Science:
- Geosciences
- Computational Science
- Environmental Engineering
Background:
- Parallel computing is crucial for complex subsurface simulations.
- Accurate performance data for simulation codes is needed by scientists.
- PFLOTRAN is a widely used code for reactive multiphase flow and biogeochemical transport.
Purpose of the Study:
- To assess the parallel performance of the PFLOTRAN code.
- To provide subsurface scientists with expected performance metrics for realistic modeling scenarios.
- To evaluate scalability on the Jaguar supercomputer.
Main Methods:
- Investigated PFLOTRAN performance on the Jaguar supercomputer.
- Conducted strong and weak scalability analyses.
- Evaluated performance across three realistic modeling scenarios: in situ leaching, regional doublet flow, and uranium complexation.
Main Results:
- PFLOTRAN exhibits strong scalability for the tested realistic scenarios.
- Performance was analyzed in relation to model design, software, algorithms, and hardware.
- Detailed discussion of weak scalability for a regional doublet problem is included.
Conclusions:
- PFLOTRAN shows promising parallel performance for subsurface modeling.
- The findings inform scientists about the code's capabilities on high-performance computing systems.
- Understanding scalability is key for effective application of PFLOTRAN in complex environmental simulations.
