Portable, Extensible Toolkit for Scientific Computation

PETSc
Stable release
3.22 / 28 September 2024; 36 days ago (2024-09-28)
Repository
Operating systemLinux, Unix, Mac OS X, Windows
Available inC, Python, Fortran
TypeScientific simulation software
LicenseBSD 2-clause license
Websitepetsc.org

The Portable, Extensible Toolkit for Scientific Computation (PETSc, pronounced PET-see; the S is silent), is a suite of data structures and routines developed by Argonne National Laboratory for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It employs the Message Passing Interface (MPI) standard for all message-passing communication. PETSc is the world’s most widely used parallel numerical software library for partial differential equations and sparse matrix computations. PETSc received an R&D 100 Award in 2009.[1][2][3] The PETSc Core Development Group won the SIAM/ACM Prize in Computational Science and Engineering for 2015.[4]

PETSc is intended for use in large-scale application projects, many ongoing computational science projects are built around the PETSc libraries. 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 code, 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.[5]

  1. ^ "Archived copy" (PDF). Archived from the original (PDF) on 2013-03-12. Retrieved 2013-05-01.{{cite web}}: CS1 maint: archived copy as title (link)
  2. ^ "PETSc Wins 2009 R&D 100 Award | Argonne Leadership Computing Facility". Alcf.anl.gov. 2009-07-21. Retrieved 2013-05-01.
  3. ^ Thu, 07/30/2009 - 5:23am (2009-07-30). "PETSc Release 3.0 expands capabilities". Rdmag.com. Retrieved 2013-05-01.{{cite web}}: CS1 maint: numeric names: authors list (link)
  4. ^ "SIAM/ACM Prize in Computational Science and Engineering". siam.org. 2015-03-18. Retrieved 2015-04-19.
  5. ^ "Archived copy" (PDF). Archived from the original (PDF) on 2013-08-05. Retrieved 2013-05-01.{{cite web}}: CS1 maint: archived copy as title (link)