The Pele Simulation Suite for Reacting Flows at Exascale

Marc T. Henry de Frahan, Lucas Esclapez, Jon Rood, Nicholas T. Wimer, Paul Mullowney, Bruce A. Perry, Landon Owen, Hariswaran Sitaraman, Shashank Yellapantula, Malik Hassanaly, Mohammad J. Rahimi, Michael J. Martin, Olga A. Doronina, N. A. Sreejith, Martin Rieth, Wenjun Ge, Ramanan Sankaran, Ann S. Almgren, Weiqun Zhang, John B. BellRay Grout, Marc S. Day, Jacqueline H. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this work, we present the Pele suite of software tools for compressible and incompressible reacting flows. The Pele suite leverages several different libraries, notably AMReX and SUNDIALS, to achieve performance portability on heterogeneous computing architectures across the supercomputing landscape. The Pele suite is comprised of PeleC, a compressible reacting flow block-structured adaptive mesh refinement solver, PeleLMeX, a low-Mach number reacting flow block-structured adaptive mesh refinement solver, PelePhysics, a library for transport, thermodynamics, finite rate chemistry, soot, spray and radiation physics. The objective of this paper is (i) to present the code development efforts necessary to achieve highly effective and scalable applications for exascale machines and (ii) to detail the performance results of the Combustion-Pele project applications on Oak Ridge National Laboratory’s Frontier. We show good weak and strong scaling results for both PeleC and PeleLMeX up to more than 50 billion cells on more than 4096 Frontier graphics processing unit nodes. We also present a capability demonstration simulation of a dual-fuel pulse compression ignition engine (six adaptive mesh refinement levels, and 60 billion cells or 2.1 trillion degrees of freedom) on Frontier, to date one of the largest simulations performed on the first exascale-class supercomputer.

Original languageEnglish
Title of host publication2024 SIAM Conference on Parallel Processing for Scientific Computing, PP 2024
EditorsMichael Bader, Anshu Dubey, Bethany Lusch
PublisherSociety for Industrial and Applied Mathematics Publications
Pages13-25
Number of pages13
ISBN (Electronic)9781713893479
StatePublished - 2024
Event22nd SIAM Conference on Parallel Processing for Scientific Computing, PP 2024 - Baltimore, United States
Duration: Mar 5 2024Mar 8 2024

Publication series

Name2024 SIAM Conference on Parallel Processing for Scientific Computing, PP 2024

Conference

Conference22nd SIAM Conference on Parallel Processing for Scientific Computing, PP 2024
Country/TerritoryUnited States
CityBaltimore
Period03/5/2403/8/24

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