Parallel simulation of compressible flow using automatic differentiation and PETSc-Reference-Cited by-同舟云学术

Parallel simulation of compressible flow using automatic differentiation and PETSc

Published:2001-03 Issue:4 Volume:27 Page:503-519
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Hovland Paul D,McInnes Lois C

Publisher

Elsevier BV

Subject

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

Reference29 articles.

1. S. Balay, W.D. Gropp, L.C. McInnes, B.F. Smith, PETSc Web page, http://www.mcs.anl.gov/petsc

2. Efficient management of parallelism in object oriented numerical software libraries;Balay,1997

3. S. Balay, W.D. Gropp, L.C. McInnes, B.F. Smith, PETSc 2.0 users manual, Technical Report ANL-95/11 – Revision 2.0.24, Argonne National Laboratory, April 1999

4. ADIFOR 2.0: Automatic differentiation of Fortran 77 programs;Bischof;IEEE Computat. Sci. Eng.,1996

5. C. Bischof, A. Griewank, Tools for the automatic differentiation of computer programs, ICIAM/GAMM, Numer. Anal., Scient. Comput., Comput. Sci. 95 (1) (1996) 267–272, (special issue of Zeitschrift für angewandte Mathematik und Mechanik (ZAMM))

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Robust Monolithic Nonlinear Newton Method for the Compressible Reynolds Averaged Navier-Stokes Equations;2024

2. Two-Level Dynamic Load-Balanced P-Adaptive Discontinuous Galerkin Methods for Compressible Cfd Simulations;2024

3. Preconditioned boundary-implicit subiterative DDADI method for accuracy and efficiency enhancement in low-Mach number flows;Computers & Fluids;2023-10

4. Automatic Differentiation of C++ Codes on Emerging Manycore Architectures with Sacado;ACM Transactions on Mathematical Software;2022-12-19

5. Automatic differentiation using operator overloading (ADOO) for implicit resolution of hyperbolic single phase and two-phase flow models;Journal of Computational Physics;2019-12