PETSc Users Manual: Revision 3.11

By S. Balay, S. Abhyankar, M. Adams, Jed Brown, P. Brune, K. Buschelman, Lisandro Dalcin, A. Dener, Eijkhout, W. Gropp and 12 more. 2019

912 citations recorded by the source corpus.

The Portable, Extensible Toolkit for Scientific Computation (PETSc), is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It supports MPI, and GPUs through CUDA or OpenCL, as well as hybrid MPI-GPU parallelism. PETSc (sometimes called PETSc/Tao) also contains the Tao optimization software library.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/5d34154ff378ca0932399576f64b73a5561279db

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ronald Fedkiw
2. Stanley J. Osher
3. Ole Sigmund
4. Boyan S. Lazarov
5. Fengwen Wang
6. Peter Richtárik

In Computer Networks and Communications

1. Ronald Fedkiw
2. Stanley J. Osher
3. Frédéric Gibou
4. Ole Sigmund
5. Boyan S. Lazarov

Citations in the corpus

• The deal.II finite element library: Design, features, and insights (2019, neutral): “II has wrappers for the linear algebra components of PETSc [31], Trilinos’s Epetra and Tpetra subpackages [28], cuSPARSE [35], and Ginkgo [36].”
• Topology Optimization of Turbulent Flows (2018, methodology): “The implementation is based on the PETSc library [54, 55], which is utilized mainly for its efficient parallel sparse solvers.”
• A review of level-set methods and some recent applications (2018, methodology): “the Conjugate Gradient of the Petsc libraries [113, 114] preconditioned with the Hypre multigrid [115, 116].”
• Systematic design of 3D auxetic lattice materials with programmable Poisson’s ratio for finite strains (2018, methodology): “This study extends the work in 2D auxetic material design [35] to 3D auxetic material design utilizing a flexible framework for large scale topology optimization based on the Portable, Extensible Toolkit for Scientific Computation (PETSc) [41, 42].”
• DAMASK – The Düsseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scale (2018, methodology): “In DAMASK, iterative solution methods, such as the non-linear RICHARDSON method [88], the non-linear GMRES method [89], and the inexact NEWTON-GMRES method [90] implemented in the Portable, Extensible Toolkit for Scientific Computation (PETSc) [91] are used.”