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The Advanced CompuTational Software (ACTS) Collection comprises a set of non commercial tools mainly developed at the Department of Energy’s (DOE) laboratories, sometimes in collaboration with universities. These software tools aim to simplify the solution of common and important computational problems, and have substantially benefited a wide range of applications and fields in computational sciences. These benefits are accounted not only for applications running efficiently on high performing computing environments but also realizing computation that would not have been possible otherwise. Nowadays, with the introduction of hardware technologies such as of multi-core, the use of software libraries is key in the development of high end software applications. This is because libraries provide a level of software abstractions in which the robustness, scalability and portability can be easily and reliably passed into the application codes across a large class of computer platforms.
The ACTS project ensures sustained performance of the tools and long term availability on wide range of computer platforms.
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Sage is a free open-source mathematics software system licensed under the GPL. It combines the power of many existing open-source packages into a common Python-based interface.
Mission: Creating a viable free open source alternative to Magma, Maple, Mathematica and Matlab.
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This collection of Mathematics-related resources is maintained by the Florida State University Department of Mathematics as a free service to the online community.
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A benchmark test program that measures supercomputer performance has been developed for the use of the NAS (Numerical Aerodynamic Simulation) Projects Office at NASA Ames Research Center.
Documentation may be found here: http://www.tjhsst.edu/%7Erlatimer/mpi/nas-doc.pdf
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EISPACK is a collection of Fortran subroutines that compute the eigenvalues and eigenvectors of nine classes of matrices: complex general, complex Hermitian, real general, real symmetric, real symmetric banded, real symmetric tridiagonal, special real tridiagonal, generalized real, and generalized real symmetric matices. In addition, two routines are included that use singular value decomposition to solve certain least-squares problems.
EISPACK has been superseded for the most part by LAPACK.
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LINPACK is a collection of Fortran subroutines that analyze and solve linear equations and linear least-squares problems. The package solves linear systems whose matrices are general, banded, symmetric indefinite, symmetric positive definite, triangular, and tridiagonal square. In addition, the package computes the QR and singular value decompositions of rectangular matrices and applies them to least-squares problems. LINPACK uses column-oriented algorithms to increase efficiency by preserving locality of reference.
LINPACK was designed for supercomputers in use in the 1970s and early 1980s. LINPACK has been largely superceded by LAPACK, which has been designed to run efficiently on shared-memory, vector supercomputers.