๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Computing biconnected components on a hypercube

โœ Scribed by Jinwoon Woo; Sartaj Sahni


Publisher
Springer US
Year
1991
Tongue
English
Weight
712 KB
Volume
5
Category
Article
ISSN
0920-8542

No coin nor oath required. For personal study only.

โœฆ Synopsis


We describe two hypercube algorithms to find the biconnected components of a dense connected undirected graph. One is a modified version of the Tarjan-Vishkin algorithm and the other is an adaptation of Read's sequential algorithm. The two hypercube algorithms were experimentally evaluated on an NCUBE/7 MIMD hypercube computer. The two algorithms have comparable performance, and efficiencies as high as 0.7 were observed on dense graphs.


๐Ÿ“œ SIMILAR VOLUMES


A Stabilizing Algorithm for Finding Bico
โœ Mehmet Hakan Karaata ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 209 KB

In this paper, a self-stabilizing algorithm is presented for finding biconnected components of a connected undirected graph on a distributed or network model of computation. The algorithm is resilient to transient faults, therefore, it does not require initialization. The proposed algorithm is based

Distributed Computing on Anonymous Hyper
โœ Evangelos Kranakis; Danny Krizanc ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 245 KB

We consider the bit-complexity i.e.a, total number of bits transmitted of computing boolean functions on an anonymous canonically labeled n-dimensional hypercube network and give a characterization of the boolean functions computable on such a network as exactly those boolean functions which are inv

Computing Hough transforms on hypercube
โœ Sanjay Ranka; Sartaj Sahni ๐Ÿ“‚ Article ๐Ÿ“… 1990 ๐Ÿ› Springer US ๐ŸŒ English โš– 843 KB

Efficient algorithms to compute the Hough transform on M1MD and SIMD hypercube multicomputers are developed. Our algorithms can compute p angles of the Hough transform of an N x N image, p < N, in 0(p + log N) time on both MIMD and SIMD hypercubes. These algorithms require 0(N ~) processors. We also