Abstract
A significant challenge on an exascale computer is the speed at which we compute results exceeds by many orders of magnitude the speed at which we save these results. Therefore the Exascale Computing Project (ECP) ALPINE project focuses on providing exascale-ready visualization solutions including in situ processing. In situ visualization and analysis runs as the simulation is run, on simulations results are they are generated avoiding the need to save entire simulations to storage for later analysis. The ALPINE project made post hoc visualization tools, ParaView and VisIt, exascale ready and developed in situ algorithms and infrastructures. The suite of ALPINE algorithms developed under ECP includes novel approaches to enable automated data analysis and visualization to focus on the most important aspects of the simulation. Many of the algorithms also provide data reduction benefits to meet the I/O challenges at exascale. ALPINE developed a new lightweight in situ infrastructure, Ascent.
Original language | English |
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Pages (from-to) | 32-51 |
Number of pages | 20 |
Journal | International Journal of High Performance Computing Applications |
Volume | 39 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2025 |
Funding
The ALPINE team would like to thank all of our ECP and other collaborators who shared their time, software, data, and simulation codes with us. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was 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 research is released under LA-UR-23-34194.
Keywords
- Ascent
- catalyst
- in situ analysis and visualization
- paraView
- scientific visualization
- visIt