Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations

Felix Meyer; Benjamin Hernandez; Richard Pausch; René Widera; David Groß; Sergei Bastrakov; Axel Huebl; Guido Juckeland; Jeffrey Kelling; Matt Leinhauser; David Rogers; Ulrich Schramm; Klaus Steiniger; Stefan Gumhold; Jeff Young; Michael Bussmann; Sunita Chandrasekaran; Alexander Debus

doi:10.1145/3592979.3593408

Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations

Felix Meyer, Benjamin Hernandez, Richard Pausch, René Widera, David Groß, Sergei Bastrakov, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, David Rogers, Ulrich Schramm, Klaus Steiniger, Stefan Gumhold, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Alexander Debus

Advanced Computing for Chemistry and Mat

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The volume of data generated by exascale simulations requires scalable tools for analysis and visualization. Due to the relatively low I/O bandwidth of modern HPC systems, it is crucial to work as close as possible with simulated data via in situ approaches. In situ visualization provides insights into simulation data and, with the help of additional interactive analysis tools, can support the scientific discovery process at an early stage. Such in situ visualization tools need to be hardware-independent given the ever-increasing hardware diversity of modern supercomputers. We present a new in situ 3D vector field visualization algorithm for particle-in-cell (PIC) simulations and performance evaluation of the solution developed at large-scale. We create a solution in a hardware-agnostic approach to support high throughput and interactive in situ processing on leadership class computing systems. To that end, we demonstrate performance portability on Summit's and the Frontier's pre-exascale testbed at the Oak Ridge Leadership Computing Facility.

Original language	English
Title of host publication	Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9798400701900
DOIs	https://doi.org/10.1145/3592979.3593408
State	Published - Jun 26 2023
Event	2023 Platform for Advanced Scientific Computing Conference, PASC 2023 - Davos, Switzerland Duration: Jun 26 2023 → Jun 28 2023

Publication series

Name	Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023

Conference

Conference	2023 Platform for Advanced Scientific Computing Conference, PASC 2023
Country/Territory	Switzerland
City	Davos
Period	06/26/23 → 06/28/23

Funding

This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Funders	Funder number
U.S. Department of Energy	DE-AC05-00OR22725
Office of Science

Keywords

GPU
exascale
in situ visualization
particle-in-cell simulation
portability
scientific visualization
streamline visualization

Access to Document

10.1145/3592979.3593408

Cite this

Meyer, F., Hernandez, B., Pausch, R., Widera, R., Groß, D., Bastrakov, S., Huebl, A., Juckeland, G., Kelling, J., Leinhauser, M., Rogers, D., Schramm, U., Steiniger, K., Gumhold, S., Young, J., Bussmann, M., Chandrasekaran, S., & Debus, A. (2023). Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. In Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023 (Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023). Association for Computing Machinery, Inc. https://doi.org/10.1145/3592979.3593408

Meyer, Felix ; Hernandez, Benjamin ; Pausch, Richard et al. / Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023. Association for Computing Machinery, Inc, 2023. (Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023).

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title = "Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations",

abstract = "The volume of data generated by exascale simulations requires scalable tools for analysis and visualization. Due to the relatively low I/O bandwidth of modern HPC systems, it is crucial to work as close as possible with simulated data via in situ approaches. In situ visualization provides insights into simulation data and, with the help of additional interactive analysis tools, can support the scientific discovery process at an early stage. Such in situ visualization tools need to be hardware-independent given the ever-increasing hardware diversity of modern supercomputers. We present a new in situ 3D vector field visualization algorithm for particle-in-cell (PIC) simulations and performance evaluation of the solution developed at large-scale. We create a solution in a hardware-agnostic approach to support high throughput and interactive in situ processing on leadership class computing systems. To that end, we demonstrate performance portability on Summit's and the Frontier's pre-exascale testbed at the Oak Ridge Leadership Computing Facility.",

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Meyer, F, Hernandez, B, Pausch, R, Widera, R, Groß, D, Bastrakov, S, Huebl, A, Juckeland, G, Kelling, J, Leinhauser, M, Rogers, D, Schramm, U, Steiniger, K, Gumhold, S, Young, J, Bussmann, M, Chandrasekaran, S & Debus, A 2023, Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. in Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023. Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023, Association for Computing Machinery, Inc, 2023 Platform for Advanced Scientific Computing Conference, PASC 2023, Davos, Switzerland, 06/26/23. https://doi.org/10.1145/3592979.3593408

Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. / Meyer, Felix; Hernandez, Benjamin; Pausch, Richard et al.
Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023. Association for Computing Machinery, Inc, 2023. (Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hernandez, Benjamin

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AU - Groß, David

AU - Bastrakov, Sergei

AU - Huebl, Axel

AU - Juckeland, Guido

AU - Kelling, Jeffrey

AU - Leinhauser, Matt

AU - Rogers, David

AU - Schramm, Ulrich

AU - Steiniger, Klaus

AU - Gumhold, Stefan

AU - Young, Jeff

AU - Bussmann, Michael

AU - Chandrasekaran, Sunita

AU - Debus, Alexander

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N2 - The volume of data generated by exascale simulations requires scalable tools for analysis and visualization. Due to the relatively low I/O bandwidth of modern HPC systems, it is crucial to work as close as possible with simulated data via in situ approaches. In situ visualization provides insights into simulation data and, with the help of additional interactive analysis tools, can support the scientific discovery process at an early stage. Such in situ visualization tools need to be hardware-independent given the ever-increasing hardware diversity of modern supercomputers. We present a new in situ 3D vector field visualization algorithm for particle-in-cell (PIC) simulations and performance evaluation of the solution developed at large-scale. We create a solution in a hardware-agnostic approach to support high throughput and interactive in situ processing on leadership class computing systems. To that end, we demonstrate performance portability on Summit's and the Frontier's pre-exascale testbed at the Oak Ridge Leadership Computing Facility.

AB - The volume of data generated by exascale simulations requires scalable tools for analysis and visualization. Due to the relatively low I/O bandwidth of modern HPC systems, it is crucial to work as close as possible with simulated data via in situ approaches. In situ visualization provides insights into simulation data and, with the help of additional interactive analysis tools, can support the scientific discovery process at an early stage. Such in situ visualization tools need to be hardware-independent given the ever-increasing hardware diversity of modern supercomputers. We present a new in situ 3D vector field visualization algorithm for particle-in-cell (PIC) simulations and performance evaluation of the solution developed at large-scale. We create a solution in a hardware-agnostic approach to support high throughput and interactive in situ processing on leadership class computing systems. To that end, we demonstrate performance portability on Summit's and the Frontier's pre-exascale testbed at the Oak Ridge Leadership Computing Facility.

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M3 - Conference contribution

AN - SCOPUS:85166243680

T3 - Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023

BT - Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023

PB - Association for Computing Machinery, Inc

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ER -

Meyer F, Hernandez B, Pausch R, Widera R, Groß D, Bastrakov S et al. Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. In Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023. Association for Computing Machinery, Inc. 2023. (Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023). doi: 10.1145/3592979.3593408

Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations

Abstract

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Keywords

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