Paper Info
Title
Prospectus for the next LAPACK and ScaLAPACK libraries
Abstract
New releases of the widely used LAPACK and ScaLAPACK numerical linear algebra libraries are planned. Based on an on-going user survey (www.netlib.org/lapack-dev) and research by many people, we are proposing the following improvements: Faster algorithms, including better numerical methods, memory hierarchy optimizations, parallelism, and automatic performance tuning to accommodate new architectures; More accurate algorithms, including better numerical methods, and use of extra precision; Expanded functionality, including updating and downdating, new eigenproblems, etc. and putting more of LAPACK into ScaLAPACK; Improved ease of use, e.g., via friendlier interfaces in multiple languages. To accomplish these goals we are also relying on better software engineering techniques and contributions from collaborators at many institutions.
Year
DOI
Venue
2006
10.1007/978-3-540-75755-9_2
PARA
Keywords
Field
DocType
faster algorithm,numerical method,scalapack library,new architecture,improved ease,next lapack,scalapack numerical linear algebra,new release,better software engineering technique,automatic performance,accurate algorithm,new eigenproblems,numerical linear algebra,software engineering,ease of use
Memory hierarchy,Programming language,Computer science,Parallel computing,Usability,Theoretical computer science,ScaLAPACK,Performance tuning,Prospectus,Numerical linear algebra,Cholesky decomposition
Conference
Volume
ISSN
ISBN
4699
0302-9743
3-540-75754-6
Citations 
PageRank 
References 
7
1.80
38
Authors
17
Name
Order
Citations
PageRank
James Demmel14817551.47
Jack J. Dongarra2176252615.79
Beresford Parlett3123.11
William Kahan4344.73
Ming Gu550151.05
David Bindel642729.24
Yozo Hida723422.28
Xiaoye Li8659.03
Osni Marques95814.09
E. Jason Riedy1010614.30
Christof Vömel1116817.80
Julien Langou12102871.98
Piotr Luszczek13114499.50
Jakub Kurzak1493579.46
Alfredo Buttari1564753.60
Julie Langou1610511.92
Stanimire Tomov171214102.02