Title
Parallel multiple search
Abstract
Two sequences of items sorted in increasing order are given: a sequence A of size n and a sequence B of size m. It is required to determine, for every item of A, the smallest item of B (if one exists) that is larger than it. The paper presents two parallel algorithms for the problem. The first algorithm requires O(logm+logn) time using n processors on an EREW PRAM. On an EREW PRAM with p (p⩽min{m, n}) processors, the second algorithm runs in O(logn+p/n) time when m⩽n, or in O(logm+p/n logn/2m) time when m>n. The second algorithm is optimal
Year
DOI
Venue
1991
10.1109/IPPS.1991.153765
Inf. Process. Lett.
Keywords
DocType
Volume
size n,sub n,sequence a,sequence b,erew pram,size m,search problems,computational complexity,parallel algorithms,sup n,parallel multiple search,parallel algorithm,n processor,sub p,binary search
Conference
37
Issue
Citations 
PageRank 
4
1
0.47
References 
Authors
8
1
Name
Order
Citations
PageRank
Zhaofang Wen1568.25