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  • LINPACK - Netlib
    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
  • Frequent Asked Questions on the LINPACK Benchmark - Netlib
    The Linpack Benchmark is something that grew out of the Linpack software project It was originally intended to give users of the package a feeling for how long it would take to solve certain matrix problems The benchmark stated as an appendix to the Linpack Users' Guide and has grown since the Linpack User’s Guide was published in 1979
  • The Linpack Benchmark - Netlib
    The LINPACK Benchmark was introduced by Jack Dongarra A detailed description as well as a list of performance results on a wide variety of machines is available in postscript form from netlib To retrieve a copy send electronic mail to netlib@ornl gov and by typing the message send performance from benchmark or from any machine on the internet type: rcp anon@netlib2 cs utk edu:benchmark
  • HPL - A Portable Implementation of the High-Performance Linpack . . .
    The reference implementation of HPL is now maintained in a GitHub repo 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
  • Benchmark Programs and Reports - Netlib
    file 1000s for The LINPACK 1000x1000 benchmark program in single precision file 1000d for The LINPACK 1000x1000 benchmark program in double precision lib hpl for Subdirectory containing HPL Benchmark , HPL: A Portable Implementation of the High Performance Linpack , Benchmark for Distributed-Memory Computers , This program can be used for the Top500 tests lib sparsebench for Subdirectory
  • The LINPACK Benchmark: Past, Present, and Future - Netlib
    Abstract This paper describes the LINPACK Benchmark [41] and some of its variations commonly used to assess perfor-mance of computer systems Aside from the LINPACK benchmark suite, the TOP500 [43], and the HPL [48] code are presented The latter is frequently used to obtained results for TOP500 submissions Information is also given on how to interpret results of the benchmark and how the
  • Linpack Benchmark -- Java Version - Netlib
    This applet runs the Linpack Benchmark in Java The Linpack Benchmark is a numerically intensive test that has been used for years to measure the floating point performance of computers To run the benchmark after the graph loads hit "Press to run " Jack Dongarra, Reed Wade, and Paul McMahan (please direct inquiries to dongarra@cs utk edu)
  • The Netlib
    * ** ** LINPACK C Linpack benchmark, calculates FLOPS ** (FLoating Point Operations Per Second) ** ** Translated to C by Bonnie Toy 5 88 ** ** Modified by Will Menninger, 10 93, with these features: ** (modified on 2 25 94 to fix a problem with daxpy for ** unequal increments or equal increments not equal to 1 ** Jack Dongarra) ** ** - Defaults to double precision ** - Averages ROLLed and
  • The Netlib
    LINPACK is a collection of Fortran subroutines that analyze and solve linear equations and linear least-squares probles 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
  • linpack archives
    # LINPACK ARCHIVES directory # ================== # This subdirectory contains pre-built LINPACK libraries # for various architectures # **** # NOTE: These LINPACK archives do not contain the BLAS





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