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 |
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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 | |
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 |
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Conference
Conference | 2023 Platform for Advanced Scientific Computing Conference, PASC 2023 |
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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).
Keywords
- GPU
- exascale
- in situ visualization
- particle-in-cell simulation
- portability
- scientific visualization
- streamline visualization