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
         
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Foundations of Computer Science, 1992. Proceedings., 33rd Annual Symposium on
         
        
            Conference_Location : 
Pittsburgh, PA
         
        
            Print_ISBN : 
0-8186-2900-2
         
        
        
            DOI : 
10.1109/SFCS.1992.267779