Linpack

HPL is a software package that solves a (random) dense linear system in double precision (64 bits) arithmetic on distributed-memory computers. It can thus be regarded as a portable as well as freely available implementation of the High Performance Computing Linpack Benchmark. The algorithm used... Platforms: *nix

LAPACK is a linear algebra library, based on LINPACK and EISPACK. LAPACK is written in Fortran77 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated... Platforms: *nix

This CPU Benchmark is written in .NET C# and use the Linpack and Whetstone algorithm. Platforms: Windows, Mac, Linux

HPC Challenge is a high performance benchmark suite. The HPC Challenge consists of basically 7 benchmarks: 1. HPL - the Linpack TPP benchmark which measures the floating point rate of execution for solving a linear system of equations. 2. DGEMM - measures the floating point rate of execution... Platforms: *nix

Matlab integrates mathematical computing, visualization, and a powerful language to provide a flexible environment for technical computing. The open architecture makes it easy to use Matlab and its companion products to explore data, create algorithms, and create custom tools that provide early... Platforms: Mac

A cross-platform CPU Benchmark tool in Java. Uses Whetstone, with Linpack a near possibility. Used by the author to compare JVM, VM, and operating system performance. Not a STDNOJ Tool, but still a neat odd-job? An MIT NetBeans Project by R.A. Nagy Platforms: Windows, Mac, Linux

A cross-platform CPU Benchmark tool in Java. Uses Whetstone, with Linpack a near possibility. Used by the author to compare JVM, VM, and operating system performance. Not a STDNOJ Tool, but still a neat odd-job? An MIT NetBeans Project by R.A. Nagy Platforms: Mac

PelicanHPC is a live CD image that let's you set up a high performance computing cluster in a few minutes. A Pelican cluster allows you to do parallel computing using MPI. You can run Pelican on a single multiple core machine to use all cores to solve a problem, or you can network multiple... Platforms: *nix