High-performance parallel implicit CFD

William D. Gropp, Dinesh K. Kaushik, David E. Keyes, Barry F. Smith

Research output: Contribution to journalArticle

Abstract

Fluid dynamical simulations based on finite discretizations on (quasi-)static grids scale well in parallel, but execute at a disappointing percentage of per-processor peak floating point operation rates without special attention to layout and access ordering of data. We document both claims from our experience with an unstructured grid CFD code that is typical of the state of the practice at NASA. These basic performance characteristics of PDE-based codes can be understood with surprisingly simple models, for which we quote earlier work, presenting primarily experiemental results. The performance models and experimental results motivate algorithmic and software practices that lead to improvements in both parallel scalability and per node performance. This snapshot of ongoing work updates our 1999 Bell Prize-winning simulation on ASCI computers

Original languageEnglish (US)
Pages (from-to)337-362
Number of pages26
JournalParallel Computing
Volume27
Issue number4
DOIs
StatePublished - Mar 1 2001
Externally publishedYes

Keywords

  • Computational fluid dynamics
  • High-performance computing
  • Parallel implicit solvers
  • Unstructured grids

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'High-performance parallel implicit CFD'. Together they form a unique fingerprint.

  • Cite this