An extended set of FORTRAN basic linear algebra subprograms

@article{Dongarra1988AnES,
  title={An extended set of FORTRAN basic linear algebra subprograms},
  author={Jack J. Dongarra and Jeremy Du Croz and Sven Hammarling and Richard J. Hanson},
  journal={ACM Trans. Math. Softw.},
  year={1988},
  volume={14},
  pages={1-17}
}
This paper describes an extension to the set of Basic Linear Algebra Subprograms. The extensions are targeted at matrix-vector operations that should provide for efficient and portable implementations of algorithms for high-performance computers. 
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References

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A proposal for an extended set of Fortran Basic Linear Algebra Subprograms
TLDR
This paper describes an extension to the set of Basic Linear Algebra Subprograms targeted at matrix vector operations which should provide for more efficient and portable implementations of algorithms for high performance computers. Expand
A proposal for standard linear algebra subprograms
A set of FORTRAN callable subprograms are proposed which will be useful in the development of efficient portable ANSI FORTRAN subprograms and applications programs in the area of linear algebra.
Issues relating to extension of the Basic Linear Algebra Subprograms
TLDR
The authors' views are Lased on their implementation of theBLAS in highly-efficient assembly language for the Cray-1 and Cray X-MP, and use of the BLAS and some of the proposed extensions in a variety of application areas. Expand
Algorithm 656: an extended set of basic linear algebra subprograms: model implementation and test programs
This paper describes a model implementation and test software for the Level 2 Basic Linear Algebra Subprograms (Level 2 BLAS). Level 2 BLAS are targeted at matrix-vector operations with the aim of… Expand
Basic Linear Algebra Subprograms for Fortran Usage
TLDR
A package of 38 low level subprograms for many of the basic operations of numerical linear algebra is presented, intended to be used with FORTRAN. Expand
Improving the efficiency of portable software for linear algebra
In algorithms for linear algebraic computations there are a fairly small number of basic operations which are generally responsible for a significant percentage of the total execution time. We… Expand
Squeezing the most out of an algorithm in CRAY FORTRAN
This paper discusses a technique for achieving supervector performance on a Cray in a purely Fortran environment (i.e., without resorting to assembly language). The technique can be applied to a wide… Expand
Squeezing the most out of eigenvalue solvers on high-performance computers
Abstract This paper describes modifications to many of the standard algorithms used in computing eigenvalues and eigenvectors of matrices. These modifications can dramatically increase the… Expand
Matrix Eigensystem Routines — EISPACK Guide Extension
TLDR
The EISPACK subroutines and the handbook Algol procedures are compared to show the similarities and differences in execution times, as well as the differences in documentation and source listings. Expand
Matrix Eigensystem Routines — EISPACK Guide
TLDR
The Eispack subroutines and the handbook algol procedures are compared to show the similarities and the differences in execution times and documentation are compared. Expand
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