DocumentCode
1887833
Title
Large numerical linear algebra in 1994: the continuing influence of parallel computing
Author
Edelman, Alan
Author_Institution
Dept. of Math., MIT, Cambridge, MA, USA
fYear
1994
fDate
23-25 May 1994
Firstpage
781
Lastpage
787
Abstract
The note covers two aspects of the state of the art of large numerical linear algebra problems. Firstly, we look at the current records for sparse and dense linear systems and eigenvalue problems on a variety of machines. The second subject matter is perhaps more of a question than an answer; we explore why network topologies of a parallel machine are hardly ever used in ways that perhaps a graph theorist might envision, especially given that linear algebra, particularly dense linear algebra, consists of many very regular predictable operations
Keywords
graph theory; linear algebra; parallel algorithms; parallel architectures; parallel machines; dense linear systems; eigenvalue problems; graph theorist; large numerical linear algebra; network topologies; parallel computing; parallel machine; predictable operations; sparse linear systems; Eigenvalues and eigenfunctions; Linear algebra; Linear systems; Mathematics; Parallel machines; Parallel processing; Portable computers; Supercomputers; Switches; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Scalable High-Performance Computing Conference, 1994., Proceedings of the
Conference_Location
Knoxville, TN
Print_ISBN
0-8186-5680-8
Type
conf
DOI
10.1109/SHPCC.1994.296720
Filename
296720
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