Interactive Data Exploration for High-Performance Fluid Flow Computations through Porous Media
@article{Perovic2014InteractiveDE,
title={Interactive Data Exploration for High-Performance Fluid Flow Computations through Porous Media},
author={Nevena Perovic and J{\'e}r{\^o}me Frisch and Ralf-Peter Mundani and Ernst Rank},
journal={2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing},
year={2014},
pages={463-470}
}Huge data advent in high-performance computing (HPC) applications such as fluid flow simulations usually hinders the interactive processing and exploration of simulation results. Such an interactive data exploration not only allows scientiest to 'play' with their data but also to visualise huge (distributed) data sets in both an efficient and easy way. Therefore, we propose an HPC data exploration service based on a sliding window concept, that enables researches to access remote data…
One Citation
Measuring and Comparing the Scaling Behaviour of a High-Performance CFD Code on Different Supercomputing Infrastructures
- Computer Science2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
- 2015
This paper will show the results of several experiments on two of Germany's national supercomputers up to 140,000 processes, and discuss any bottlenecks that could be observed while solving engineering-based problems such as porous media flows or thermal comfort assessments for problem sizes up to several hundred billion degrees of freedom.
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