𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Fast sparse matrix multiplication

✍ Scribed by S.C. Park; J.P. Draayer; S.-Q. Zheng


Book ID
103048026
Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
834 KB
Volume
70
Category
Article
ISSN
0010-4655

No coin nor oath required. For personal study only.

✦ Synopsis


A new space-efficient representation for sparse matrices is introduced and a fast sparse matrix multiplication algorithm based on the new representation is presented. The scheme is very efficient when the nonzero elements of a sparse matrix are partially or fully adjacent to one another as in band or triangular matrices. The space complexity of the new representation is better than that of existing algorithms when the number of sets of adjacent nonzero elements, called segments, is less than two thirds of the total number of nonzero elements. The time complexity of the associated sparse matrix multiplication algorithm is also better or even much better than that of existing schemes depending on the number of segments in the factor matrices.


πŸ“œ SIMILAR VOLUMES


Fast matrix multiplication
✍ Carlos F. Bunge; Gerardo Cisneros πŸ“‚ Article πŸ“… 1987 πŸ› John Wiley and Sons 🌐 English βš– 358 KB

Several implementations of matrix multiplication (MMUL) in Fortran and VAX assembly language are discussed. On a VAX-11/780 computer, the most efficient MMUL is achieved through vector-scalarmultiply-and-add (VSMA) operations, rather than by means of dot products. We also discuss optimal MMUL algori

Simple sparse matrix multiplication algo
✍ Daniel KrΓ‘l; Pavel NeogrΓ‘dy; Vladimir KellΓΆ πŸ“‚ Article πŸ“… 1995 πŸ› Elsevier Science 🌐 English βš– 217 KB

A simple algorithm for multiplication of sparse matrices is proposed. This algorithm can be easily incorporate into existing matrix multiplication routines. Behavior of the given algorithm on scalar and vector processors is discussed.

Fast matrix multiplication is stable
✍ James Demmel; Ioana Dumitriu; Olga Holtz; Robert Kleinberg πŸ“‚ Article πŸ“… 2007 πŸ› Springer-Verlag 🌐 English βš– 358 KB