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

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

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)32-51
Number of pages20
JournalInternational Journal of High Performance Computing Applications
Volume39
Issue number1
DOIs
StatePublished - 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

Fingerprint

Dive into the research topics of 'The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale'. Together they form a unique fingerprint.

Cite this