ASAGI
| Autor: | Oliver Meister, Michael Bader, Sebastian Rettenberger, Alice-Agnes Gabriel |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies Geographic information system Computer science Adaptive mesh refinement Interface (Java) business.industry Node (networking) 0211 other engineering and technologies 02 engineering and technology Parallel computing 010502 geochemistry & geophysics 01 natural sciences Replication (computing) law.invention Earthquake simulation law Cartesian coordinate system business Massively parallel 0105 earth and related environmental sciences |
| Zdroj: | EASC |
| Popis: | We present ASAGI, an open-source library with a simple interface to access Cartesian material and geographic datasets in massively parallel simulations with dynamically adaptive mesh refinement (AMR). ASAGI distributes geographic datasets over all compute nodes storing only a portion of the dataset on each node. An automatic replication mechanism copies the data between nodes to assure fast local access even after load migration in the application. We demonstrate ASAGI's preparedness for up-to-petascale simulations in three use cases. We simulate a Tsunami on 512 cores and a porous media flow on up to 8,192 cores of SuperMUC with the AMR framework sam(oa)2. We also run an earthquake simulation with SeiSol on 65,536 cores. For all applications, ASAGI provides large complex 3D material datasets required for the realistic scenarios. The NUMA-awareness of ASAGI turned out to be especially useful for the hybrid MPI+OpenMP parallelization of both codes. |
| Databáze: | OpenAIRE |
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