رایانش علمی: تفاوت میان نسخهها
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(صفحهای جدید حاوی « == لینک های مرتبط == * [http://www.toptal.com/scientific-computing/scientific-computing-with-open-source-tools]» ایجاد کرد) |
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== ابزارهای متن باز == | |||
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. | |||
== مثال == | |||
== لینک های مرتبط == | == لینک های مرتبط == | ||
* [http://www.toptal.com/scientific-computing/scientific-computing-with-open-source-tools] | * [[پایتون]] | ||
* [http://www.toptal.com/scientific-computing/scientific-computing-with-open-source-tools Scientific Computing with Open Source Tools] |
نسخهٔ ۱۲ سپتامبر ۲۰۱۴، ساعت ۱۱:۱۳
ابزارهای متن باز
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.