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BLAS

Known as: AXPY, CGEMM, DGEMM 
Basic Linear Algebra Subprograms (BLAS) is a specification that prescribes a set of low-level routines for performing common linear algebra… 
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Related topics

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AMD Core Math LibraryARM architectureATLASAmortized analysis

Papers overview

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Highly Cited
2013
Highly Cited
2013
Design and Implementation of the Linpack Benchmark for Single and Multi-node Systems Based on Intel® Xeon Phi Coprocessor
Dense linear algebra has been traditionally used to evaluate the performance and efficiency of new architectures. This trend has… 
Highly Cited
2012
Highly Cited
2012
Coherent quantum transport in photonic lattices
Transferring quantum states efficiently between distant nodes of an information processing circuit is of paramount importance for… 
Highly Cited
2009
Highly Cited
2009
Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems
This paper presents a dynamic task scheduling approach to executing dense linear algebra algorithms on multicore systems (either… 
Highly Cited
2006
Highly Cited
2006
Comparison of screened hybrid density functional theory to diffusion Monte Carlo in calculations of total energies of silicon phases and defects
Nearly quantitative agreement between density functional theory DFT and diffusion Monte Carlo DMC calculations is shown for the… 
Highly Cited
2005
Highly Cited
2005
Sparse Matrix-Vector multiplication on FPGAs
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering… 
Highly Cited
2005
Highly Cited
2005
A Language for the Compact Representation of Multiple Program Versions
As processor complexity increases compilers tend to deliver suboptimal performance. Library generators such as ATLAS, FFTW and… 
Review
2002
Review
2002
An overview of the sparse basic linear algebra subprograms: The new standard from the BLAS technical forum
We discuss the interface design for the Sparse Basic Linear Algebra Subprograms (BLAS), the kernels in the recent standard from… 
Highly Cited
2002
Highly Cited
2002
Recursive blocked algorithms for solving triangular systems—Part I: one-sided and coupled Sylvester-type matrix equations
Triangular matrix equations appear naturally in estimating the condition numbers of matrix equations and different eigenspace… 
Highly Cited
1997
Highly Cited
1997
An Asynchronous Parallel Supernodal Algorithm for Sparse Gaussian Elimination
Although Gaussian elimination with partial pivoting is a robust algorithm to solve unsymmetric sparse linear systems of equations… 
Highly Cited
1984
Highly Cited
1984
Implementing Linear Algebra Algorithms for Dense Matrices on a Vector Pipeline Machine
This paper examines common implementations of linear algebra algorithms, such as matrix-vector multiplication, matrix-matrix… 
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