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PETSc is intended for use in large-scale application
projects, many ongoing computational science projects
are built around the PETSc libraries. PETSc is easy
to use for beginners. Moreover, its careful design allows advanced users to have detailed
control over the solution process. PETSc includes a large suite of parallel linear
and nonlinear equation solvers that are easily used in application codes written in C,
C++, Fortran and now Python. PETSc provides many of the mechanisms needed within parallel application
codes, such as simple parallel matrix and vector assembly routines that allow the overlap
of communication and computation. In addition, PETSc includes support for
parallel distributed arrays useful for finite difference methods. Features include:
- Parallel vectors
- scatters (handles communicating ghost point information)
- gathers
- Parallel matrices
- several sparse storage formats
- easy, efficient assembly.
- Scalable parallel preconditioners
- Krylov subspace methods
- Parallel Newton-based nonlinear solvers
- Parallel timestepping (ODE) solvers
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- Complete documentation
- Automatic profiling of floating point and memory usage
- Consistent interface
- Intensive error checking
- Portable to UNIX and Windows
- Over one hundred examples
- PETSc is supported and will be actively enhanced for many years.
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