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  • PETSc: A suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations.
  • Trilinos Project: A set of robust algorithms and technologies for solving both linear and non-linear equations, developed from work at Sandia National Labs.
  • uBLAS: “A C++ template class library that provides BLAS level 1, 2, 3 functionality for dense, packed and sparse matrices and many numerical algorithms for linear algebra.”
  • GMP: A free library for arbitrary precision arithmetic, operating on signed integers, rational numbers, and floating-point numbers.
  • UMFPACK: A set of routines for solving unsymmetric sparse linear systems, Ax=b, using the Unsymmetric MultiFrontal method.
  • ParMETIS: An MPI-based parallel library that implements a variety of algorithms for partitioning unstructured graphs, meshes, and for computing fill-reducing orderings of sparse matrices.
  • NumPy: The fundamental package for scientific computing with Python.
  • CGAL: Efficient and reliable geometric algorithms in the form of a C++ library.
  • SCOTCH: A software package and libraries for sequential and parallel graph partitioning, static mapping and clustering, sequential mesh and hypergraph partitioning, and sequential and parallel sparse matrix block ordering.
  • MPI: A standardized and portable message-passing system designed by a group of researchers from academia and industry to function on a wide variety of parallel computers.
  • VTK: An open-source, freely available software system for 3D computer graphics, image processing and visualization.
  • SLEPc: A software library for the solution of large scale sparse eigenvalue problems on parallel computers.

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