DocumentCode
1566728
Title
Processor-efficient parallel solution of linear systems. II. The positive characteristic and singular cases
Author
Kaltofen, Erich ; Pan, Victor
Author_Institution
Dept. of Comput. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
fYear
1992
Firstpage
714
Lastpage
723
Abstract
For pt.I see Proc. 3rd Ann. ACM Symp. Parallel Algms. Architecture, p. 180-91 (1991). The authors show that over any field, the solution set to a system of n linear equations in n unknowns can be computed in parallel with randomization simultaneously in poly-logarithmic time in n and with only as many processors as are utilized to multiply two n × n matrices. A time unit represents an arithmetic operation in the field. For singular systems the parallel timings are asymptotically as fast as those for non-singular systems, due to the avoidance of binary search in the matrix rank problem, except when the field has small positive characteristic; in that case, binary search is avoided at a somewhat higher processor count measure
Keywords
computational complexity; parallel algorithms; arithmetic operation; binary search; linear systems; matrix rank problem; parallel solution; parallel timings; poly-logarithmic time; processor count; singular systems; time complexity; Algorithm design and analysis; Arithmetic; Computer science; Concurrent computing; Economic indicators; Educational institutions; Equations; Linear systems; Mathematics; Parallel algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science, 1992. Proceedings., 33rd Annual Symposium on
Conference_Location
Pittsburgh, PA
Print_ISBN
0-8186-2900-2
Type
conf
DOI
10.1109/SFCS.1992.267779
Filename
267779
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