Multiprocessor Implementation of Transitive Closure
| dc.contributor.author | Bhalla, Sunidhi | |
| dc.contributor.supervisor | Bawa, Seema | |
| dc.date.accessioned | 2007-05-01T11:06:37Z | |
| dc.date.available | 2007-05-01T11:06:37Z | |
| dc.date.issued | 2007-05-01T11:06:37Z | |
| dc.description.abstract | Graph theoretic algorithms are found quite effective for solving complex real life problems. Computing the transitive closure in directed graphs is a fundamental graph problem. Transitive closure can be thought of as establishing a data structure that makes it possible to solve reachability questions (can I get to x from y?) efficiently. After the preprocessing of constructing the transitive closure, all reachability queries can be answered in constant time by simply reporting a matrix entry. Transitive closure is fundamental in propagating the consequences of modified attributes of a graph G. For efficient system utilization and fast response to the user, it is necessary to use parallel algorithms for solving a single problem. Transitive closure is a highly parallelizable problem; it belongs to the class NC of problems that can be solved in polylogarithmic time (i.e. O(logcn) for some constant c) with polynomial number of processors. | en |
| dc.description.sponsorship | Computer Science & Engineering Department, Thapar University (Deemed University), Patiala-147004. | en |
| dc.format.extent | 523721 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/123456789/336 | |
| dc.language.iso | en | en |
| dc.subject | Transitive Closure | en |
| dc.subject | Parallel Algorithm Design | en |
| dc.subject | Double Hash-Based Clustering | en |
| dc.subject | Granularity and Concurrency | en |
| dc.subject | Run Time | en |
| dc.title | Multiprocessor Implementation of Transitive Closure | en |
| dc.type | Thesis | en |
