The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale

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.

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Publication Details

Journal
The International Journal of High Performance Computing Applications
Published
2024-10-06
DOI
https://doi.org/10.1177/10943420241286521
Citations
6
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
3.79

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article

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale

James Ahrens, John Patchett, Steve Petruzza, Karen Tsai et al.
6 citations
The International Journal of High Performance Computing Applications
Computer Graphics and Visualization Techniques
3.79
article

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale

James Ahrens, John Patchett, Steve Petruzza, Karen Tsai, Nicole Marsaglia, Dan Lipsa, Valerio Pascucci, Eric Brugger, Oliver Rübel, Jorge Salinas, Abdelilah Essiari, Peer‐Timo Bremer, Hamish Carr, Cyrus Harrison, Silvio Rizzi, Matthew Larsen, Janine Camille Bennett, James Kress, Saumil Patel, Yuya Kawakami, Corey Wetterer-Nelson, Victor A. Mateevitsi, Utkarsh Ayachit, Marco Arienti, Jieyang Chen, Roxana Bujack, David Pugmire, Meghanto Majumder, Jonathan Woodring, Roba Binyahib, Abhishek Yenpure, Terece L. Turton, Petar Hristov, Subhashis Hazarika, Ayan Biswas, Megan Hickman Fulp, Sergei Shudler, Berk Geveci, Xuan Huang, Will Usher, Joseph A. Insley, Soumya Dutta, Sudhanshu Sane, Chloe Keilers, Zhe Wang, Gunther H. Weber, David Rogers, Hank Childs, Alexandra Stewart
article en
6 citations

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.

The International Journal of High Performance Computing ApplicationsVol. 39(1)
Linköping University (SE), Utah State University (US), Argonne National Laboratory (US), Lawrence Livermore National Laboratory (US), Oak Ridge National Laboratory (US), SRI International (US), University of Leeds (GB), Intel (United States) (US), Los Alamos National Laboratory (US), Lawrence Berkeley National Laboratory (US), University of Oregon (US), Sandia National Laboratories California (US), Coastal Carolina University (US), University of Utah (US), University of Illinois Chicago (US), Menlo School (US), Nvidia (United States) (US), King Abdullah University of Science and Technology (SA), Clemson University (US), Indian Institute of Technology Kanpur (IN)
U.S. Department of Energy, University of Oregon, Office of Science, National Nuclear Security Administration
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Computer Graphics and Visualization Techniques
3.79
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