This paper describes the LINPACK Benchmark and some of its variations commonly used to
assess the performance of computer systems. Aside from the LINPACK Benchmark suite, the …

The Parallel Programming Guide for Every Software Developer From grids and clusters to
next-generation game consoles, parallel computing is going mainstream. Innovations such …

Vectors and matrices are useful in representing multivariate numeric data, and they occur
naturally in working with linear equations or when expressing linear relationships among …

The BLAS-like Library Instantiation Software (BLIS) framework is a new infrastructure for
rapidly instantiating Basic Linear Algebra Subprograms (BLAS) functionality. Its fundamental …

Parallelizing dense matrix computations to distributed memory architectures is a well-
studied subject and generally considered to be among the best understood domains of …

SuiteSparseQR is a sparse QR factorization package based on the multifrontal method.
Within each frontal matrix, LAPACK and the multithreaded BLAS enable the method to …

This is the first text explaining how to use the bulk synchronous parallel (BSP) model and the
freely available BSPlib communication library in parallel algorithm design and parallel …

Since the advent of high-performance distributed-memory parallel computing, the need for
intelligible code has become ever greater. The development and maintenance of libraries …

The computation of selected eigenvalues and eigenvectors of a symmetric (Hermitian)
matrix is an important subtask in many contexts, for example in electronic structure …

This chapter describes the subroutine library SLICOT that provides Fortran 77
implementations of numerical algorithms for computations in systems and control theory …