A systolic algorithm for solving dense linear systems
β Scribed by Chau-Jy Lin
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 799 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0898-1221
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β¦ Synopsis
For an arbitrary n x n matrix A and an n Γ 1 column vector b, we present a systolic algorithm to solve the dense linear equations Ax = b. An important consideration is that the pivot row can be changed during the execution of our systolic algorithm. The computational model consists of n linear systolic arrays. For 1 < i < n, the ith linear array is responsible to eliminate the ith unknown variable xi of x. This algorithm requires 4n time steps to solve the linear system. The elapsed time unit within a time step is independent of the problem size n. Since the structure of a PE is simple and the same type PE executes the identical instructions, it is very suitable for VLSI implementation. The design process and correctness proof axe considered in detail. Moreover, this algorithm can detect whether A is singular or not.
π SIMILAR VOLUMES
projections pour les systèmes linéaires et non linéaires, Habilitation thesis, University of Lille1, Lille, France, 1994; H. Sadok, CMRH: A new method for solving nonsymmetric linear systems based on the Hessenberg reduction algorithm, Numer. Algorithms 20 (1999) 303-321] is an algorithm for solving
Improved linear and square systolic arrays are presented that support the detection of repetitions in a string and the substring statistics with and without overlap. The time equals to 5n/4 -1 and n for the first and the second problems respectively, where n is the length of the string, whereas the