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The Challenges of In Situ Analysis for Multiple Simulations

By Alejandro Ribés and Bruno Raffin

Abstract

International audienceIn situ analysis and visualization have mainly been applied to the output of a single large-scale simulation. However, topics involving the execution of multiple simulations in supercomputers have only received minimal attention so far. Some important examples are uncertainty quantification, data assimilation, and complex optimization. In this position article, beyond highlighting the strengths and limitations of the tools that we have developed over the past few years, we share lessons learned from using them on large-scale platforms and from interacting with end users. We then discuss the forthcoming challenges, which future in situ analysis and vi-sualization frameworks will face when dealing with the exascale execution of multiple simulations

Topics: In Situ Analysis, Uncertainty Quantification, Data Assimilation, Exascale Computing, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
Publisher: HAL CCSD
Year: 2020
OAI identifier: oai:HAL:hal-02968789v1
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