PETSc Users ManualΒΆ
Argonne National Laboratory
Mathematics and Computer Science Division
Highly recommended resource: PETSc for Partial Differential Equations: Numerical Solutions in C and Python, By Ed Bueler,
Prepared by
S. Balay 1, S. Abhyankar 2, M. Adams 3, J. Brown 1, P. Brune 1, K. Buschelman 1, L. Dalcin 4, A. Dener 1, V. Eijkhout 6, W. Gropp 1, D. Karpeyev 1, D. Kaushik 1, M. Knepley 1, D. May 7, L. Curfman McInnes 1, R. Mills 1, T. Munson 1, K. Rupp 1, P. Sanan 8, B. Smith 1, S. Zampini 4, H. Zhang 5, and H. Zhang 1
This work was supported by the Office of Advanced Scientific Computing Research, Office of Science, U.S. Department of Energy, under Contract DE-AC02-06CH11357.
- Introduction to PETSc
- Programming with PETSc
- Vectors and Parallel Data
- Matrices
- KSP: Linear System Solvers
- SNES: Nonlinear Solvers
- TS: Scalable ODE and DAE Solvers
- Basic TS Options
- DAE Formulations
- Using Implicit-Explicit (IMEX) Methods
- GLEE methods
- Using fully implicit methods
- Using the Explicit Runge-Kutta timestepper with variable timesteps
- Special Cases
- Monitoring and visualizing solutions
- Error control via variable time-stepping
- Handling of discontinuities
- Using TChem from PETSc
- Using Sundials from PETSc
- Performing sensitivity analysis
- Solving Steady-State Problems with Pseudo-Timestepping
- High Level Support for Multigrid with KSPSetDM() and SNESSetDM()
- DMPlex: Unstructured Grids in PETSc
- Additional Information
- PETSc for Fortran Users
- Using MATLAB with PETSc
- Profiling
- Hints for Performance Tuning
- Other PETSc Features
- PETSc on a process subset
- Runtime Options
- Viewers: Looking at PETSc Objects
- Using SAWs with PETSc
- Debugging
- Error Handling
- Numbers
- Parallel Communication
- Graphics
- Emacs Users
- VS Code Users
- Vi and Vim Users
- Eclipse Users
- Qt Creator Users
- Visual Studio Users
- XCode Users (The Apple GUI Development System)
- Unimportant and Advanced Features of Matrices and Solvers
- Running PETSc Tests
- Acknowledgments