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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
- HPL - A Portable Implementation of the High-Performance Linpack . . .
It can thus be regarded as a portable as well as freely available implementation of the High Performance Computing Linpack Benchmark
- Frequent Asked Questions on the LINPACK Benchmark - Netlib
The Linpack benchmark measures the performance of two routines from the Linpack collection of software These routines are DGEFA and DGESL (these are double-precision versions; SGEFA and SGESL are their single-precision counterparts)
- The Linpack Benchmark - Netlib
The benchmark used in the LINPACK Benchmark is to solve a dense system of linear equations For the TOP500, we used that version of the benchmark that allows the user to scale the size of the problem and to optimize the software in order to achieve the best performance for a given machine
- The Netlib
* Translated to C by Bonnie Toy 5 88 - modified on 2 25 94 to fix a problem with daxpy for unequal increments or equal increments not equal to 1
- Benchmark Programs and Reports - Netlib
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
- The TOP500 List - Netlib
If Rmax from Table 3 of the LINPACK Report is not available, we use the TPP performance given in Table 1 of the LINPACK Report for solving a system of 1000 equations In a few cases we interpolated between two measured system sizes or we scaled by cycle times
- The LINPACK Benchmark: past, present and future - Netlib
The LINPACK package is a collection of Fortran subroutines for solving various systems of linear equations The software in LINPACK is based on a decompositional approach to numerical linear
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