Title :
Optimal algorithms for selection on a mesh-connected processor array
Author :
Krizanc, Danny ; Narayanan, Lata
Author_Institution :
Sch. of Comput. Sci., Carleton Univ., Ottawa, Ont., Canada
Abstract :
The authors present novel algorithms for selecting an elements of specified rank among N=n2 elements on an n×n mesh-connected processor array, in a variety of settings. They give: (1) an optimal randomized algorithm for selecting the element of rank k out of N, 1⩽k ⩽N, at any processor that is at least 0.5n- o(n) steps away from the middle processor; (2) an optimal deterministic algorithm for selecting the element of rank k out of N, 1⩽k⩽N, at any processor, when the elements are drawn from the set {1,. . .,N 1-∈}, where 0<∈⩽1; and an optimal deterministic algorithm for selecting the element of rank k out of N, at any processor, when 1⩽k⩽N 1-∈, where 0<∈⩽1
Keywords :
parallel algorithms; parallel processing; mesh-connected processor array; optimal algorithms; optimal deterministic algorithm; optimal randomized algorithm; specified rank; Application software; Computational modeling; Computer science; Computer vision; Concurrent computing; Data engineering; Databases; Hypercubes; Phase change random access memory; Very large scale integration;
Conference_Titel :
Parallel and Distributed Processing, 1992. Proceedings of the Fourth IEEE Symposium on
Conference_Location :
Arlington, TX
Print_ISBN :
0-8186-3200-3
DOI :
10.1109/SPDP.1992.242761