Title :
Parallel algorithms for all maximal equally-spaced collinear sets and all maximal regular lattices
Author :
Boxer, Laurence ; Miller, Russ
Author_Institution :
Dept. of Comput. & Inf. Sci., Niagara Univ., NY, USA
Abstract :
The authors present parallel solutions to the AMESCS (all maximal equally-spaced collinear subset) and AMRSS (all maximal regularly-spaced subset) problems and show how their solutions to the latter generalize to the AMRSDLS (all maximal regularly-spaced D-dimensional lattice subsets) problem. Their algorithms differ significantly from the optimal sequential algorithms presented in A.B. Kahng and G. Robins (1991), which do not scale well to (massively) parallel machines. The optimality of the authors´ Arbitrary CRCW PRAM (parallel random access machine) algorithms is open; however, the algorithms they present are within a logarithmic factor of optimal. Further, the algorithms are optimal for the mesh-connected computer
Keywords :
computational complexity; parallel algorithms; random-access storage; AMESCS; CRCW PRAM; all maximal equally-spaced collinear sets; all maximal regular lattices; all maximal regularly-spaced D-dimensional lattice subsets; mesh-connected computer; optimal sequential algorithms; parallel algorithms; parallel random access machine; Computational modeling; Computer science; Concurrent computing; Infrared surveillance; Landmine detection; Lattices; Parallel algorithms; Parallel machines; Phase change random access memory; Read-write memory;
Conference_Titel :
Frontiers of Massively Parallel Computation, 1992., Fourth Symposium on the
Conference_Location :
McLean, VA
Print_ISBN :
0-8186-2772-7
DOI :
10.1109/FMPC.1992.234905