LAPACK: A portable linear algebra library for high-performance computers Export

@inproceedings{citeulike:2478644, abstract = {The goal of the LAPACK project is to design and implement a portable linear algebra library for efficient use on a variety of high-performance computers. The library is based on the widely used LINPACK and EISPACK packages for solving linear equations, eigenvalue problems, and linear least-squares problems, but extends their functionality in a number of ways. The major methodology for making the algorithms run faster is to restructure them to perform block matrix operations (e.g., matrix-matrix multiplication) in their inner loops. These block operations may be optimized to exploit the memory hierarchy of a specific architecture. The LAPACK project is also working on new algorithms that yield higher relative accuracy for a variety of linear algebra problems}, author = {Angerson, E. and Bai, Z. and Dongarra, J. and Greenbaum, A. and Mckenney, A. and Du Croz, J. and Hammarling, S. and Demmel, J. and Bischof, C. and Bischof, C. and Sorensen, D. and A10}, booktitle = {Supercomputing '90. Proceedings of}, citeulike-article-id = {2478644}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/SUPERC.1990.129995}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=129995}, doi = {10.1109/SUPERC.1990.129995}, journal = {Supercomputing '90. Proceedings of}, keywords = {blas, boost, lapack}, pages = {2--11}, posted-at = {2008-03-06 12:50:12}, priority = {0}, title = {LAPACK: A portable linear algebra library for high-performance computers}, url = {http://dx.doi.org/10.1109/SUPERC.1990.129995}, year = {1990} }

TY - CONF ID - citeulike:2478644 L3 - citeulike-article-id:2478644 N2 - The goal of the LAPACK project is to design and implement a portable linear algebra library for efficient use on a variety of high-performance computers. The library is based on the widely used LINPACK and EISPACK packages for solving linear equations, eigenvalue problems, and linear least-squares problems, but extends their functionality in a number of ways. The major methodology for making the algorithms run faster is to restructure them to perform block matrix operations (e.g., matrix-matrix multiplication) in their inner loops. These block operations may be optimized to exploit the memory hierarchy of a specific architecture. The LAPACK project is also working on new algorithms that yield higher relative accuracy for a variety of linear algebra problems JF - Supercomputing '90. Proceedings of EP - 11 TI - LAPACK: A portable linear algebra library for high-performance computers T2 - Supercomputing '90. Proceedings of SP - 2 KW - blas KW - boost KW - lapack AU - Angerson, E AU - Bai, Z AU - Dongarra, J AU - Greenbaum, A AU - Mckenney, A AU - Du Croz, J AU - Hammarling, S AU - Demmel, J AU - Bischof, C AU - Bischof, C AU - Sorensen, D AU - A10 PY - 1990/// UR - http://dx.doi.org/10.1109/SUPERC.1990.129995 ER -