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Catalyst Revised: Rethinking the ParaView in Situ Analysis and Visualization API

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High Performance Computing (ISC High Performance 2021)

Abstract

As in situ analysis goes mainstream, ease of development, deployment, and maintenance becomes essential, perhaps more so than raw capabilities. In this paper, we present the design and implementation of Catalyst, an API for in situ analysis using ParaView, which we refactored with these objectives in mind. Our implementation combines design ideas from in situ frameworks and HPC tools, like Ascent and MPICH.

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Acknowledgments

This work was supported by the following funding sources.

This material is based in part upon work supported by the US Army’s Engineer Research And Development Center.

This work was partially supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration.

This material is based in part upon work supported by the US Department of Energy, Office of Science, Office of Advanced Scientific Computing Research under contract DE-AC05-00OR22725.

This material is based upon work supported by the U.S. Department of Energy, Office of Science, ASCR program under Award Number DE-SC-0021343.

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Correspondence to Utkarsh Ayachit .

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Ayachit, U. et al. (2021). Catalyst Revised: Rethinking the ParaView in Situ Analysis and Visualization API. In: Jagode, H., Anzt, H., Ltaief, H., Luszczek, P. (eds) High Performance Computing. ISC High Performance 2021. Lecture Notes in Computer Science(), vol 12761. Springer, Cham. https://doi.org/10.1007/978-3-030-90539-2_33

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  • DOI: https://doi.org/10.1007/978-3-030-90539-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90538-5

  • Online ISBN: 978-3-030-90539-2

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