3 edition of **efficient parallel biconnectivity algorithm** found in the catalog.

- 232 Want to read
- 4 Currently reading

Published
**1983**
by Courant Institute of Mathematical Sciences, New York University in New York
.

Written in English

**Edition Notes**

Statement | by Robert E. Tarjan and Uzi Vishkin. |

Series | Ultracomputer note -- 51 |

Contributions | Vishkin, U. |

The Physical Object | |
---|---|

Pagination | 23 p. |

Number of Pages | 23 |

ID Numbers | |

Open Library | OL17980443M |

EFFICIENT PARALLEL ALGORITHMS FOR SHORTEST PATH the cost of the link u ~ v (where u is the predecessor ofv in the list) equal to zero. Run again the parallel list ranking algorithm to this list resulting in the correct clockwise naming of the vertices of . It is possible to parallelize the sequential algorithm using a parallel DFS, however, the fastest parallel DFS algorithm is not work-efficient. Tarjan and Vishkin present the first work-efficient algorithm for biconnectivity [ ] (as stated in the paper the algorithm is not work-efficient, but it can be made so by using a work-efficient.

The goal of this paper is to point out that analyses of parallelism in computational problems have practical implications even when multiprocessor machines are not available. This is true because, in many cases, a good parallel algorithm for one problem may turn out to be useful for designing an efficient serial algorithm for another problem. ABSTRACT - This paper describes an efficient analogue binary image thinning algorithm for binary images. This algorithm improves the cardinal belongingss of thinning such as pixel connectivity, inordinate eroding, thinning,8-connectedness. The algorithm preserves the connectivity of an input image.

Efficient Parallel Algorithms book. Read reviews from world’s largest community for readers. This largely self-contained text is an introduction to the f 4/5. In this paper, we face the issue of concurrent versus exclusive reading in the design of a parallel algorithm for message passing-based distributed computing with an application to Lempel–Ziv data compression [1,2,3].Broadcasting a message from one to many processors in a network corresponds to concurrent reading on a random access shared memory parallel machine, while exclusive reading Author: Sergio De Agostino, Bruno Carpentieri, Raffaele Pizzolante.

You might also like

Diversification in business activity.

Diversification in business activity.

history of Banbury, including copious historical and antiquarian notices of the neighbourhood.

history of Banbury, including copious historical and antiquarian notices of the neighbourhood.

Griffins daughter

Griffins daughter

Caught Inside Bookmarks

Caught Inside Bookmarks

Guide for American business in France

Guide for American business in France

Men and thought in ancient India.

Men and thought in ancient India.

Gay Male Fiction Since Stonewall

Gay Male Fiction Since Stonewall

Homeopathic Medical Repertory

Homeopathic Medical Repertory

educator-as-evaluator

educator-as-evaluator

Snapshots Classroom Set

Snapshots Classroom Set

Japanese fashion cultures

Japanese fashion cultures

Excerpt from An Efficient Parallel Biconnectivity Algorithm This implementation uses a concurrent-read, exclusive write parallel ram (crew pram). This model differs. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books.

Find more at hor: Robert E. Tarjan. An Efficient Parallel Biconnectivity Algorithm, May, [Tarjan, Robert E., Vishkin, Uzi] on *FREE* shipping on qualifying offers. An Efficient Parallel Biconnectivity Algorithm Author: Robert E. Tarjan. An Efficient Parallel Biconnectivity Algorithm | SIAM Journal on Computing | Vol.

14, No. 4 | Society for Industrial and Applied Mathematics. In this paper we propose a new algorithm for finding the blocks (biconnected components) of an undirected graph.

A serial implementation runs in $O(n + m)$ time and space on a graph of n vertices a Cited by: An Efficient Parallel Biconnectivity Algorithm. In this paper we propose a new algorithm for finding the blocks (biconnected components) of an undirected graph.

A serial implementation runs in $O (n + m)$ time and space on a graph of n vertices and m edges. A parallel implementation runs in $O (\log n)$ time and $O (n + m)$ space using $O (n + m)$ processors on a Cited by: texts All Books All Texts latest This Just In Smithsonian Libraries FEDLINK (US) An efficient parallel biconnectivity algorithm Item Preview remove-circle An efficient parallel biconnectivity algorithm by Tarjan, Robert E; Vishkin, U.

Publication date PublisherPages: Audio Books & Poetry Community Audio Computers, Technology and Science Music, Arts & Culture News & Public Affairs Non-English Audio Spirituality & Religion. Librivox Free Audiobook. Insurgent Radio Forex Lilla podden på prärien Business Design Podcast Enibere/ Aho ɔ yaa ebususɛm Neel Chauhan Life Sessions.

Bertossi and Maurizio A. Bonuccelli, Some Parallel Algorithms on interval Graphs, Discrete Applied Mathematics 16 () ]] Google Scholar Digital Library; 3. Bertossi and S. Moretti, Parallel Algorithms on circular-arc Graphs, Information Processing Letter 33 () ]] Google Scholar Digital Library; 4.

In this thesis, we present I/O-efficient algorithms for solving the graph connectiv ity and biconnectivity problems. Previously best-known external-memory algorithms for the problems are based on simulation of their corresponding Parallel RAM algo rithms.

By contrast, our algorithms are based on depth-first search and Tarjan’s sequential. lead to efficient algorithms for related problems. 2 RELATED WORK Parallel Graph Algorithms.

Parallel graph algorithms have re-ceived significant attention since the start of parallel computing, and many elegant algorithms with good theoretical bounds have been developed over the decades (e.g., [3, 8, 21, 32, 44, 49, 53, 62– 64, 68, 69, 75, 87]).File Size: KB.

We present efficient parallel algorithms for solving three problems for series parallel graphs: 3-coloring, depth-first spanning tree, and breadth-first spanning tree. If the input is given by the decomposition tree, the first two problems can be solved in O (log n) time with O(n log n) processors, the last problem can be solved in O (log n log log n) time with O (n) by: CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract.

In this paper we propose a new algorithm for finding the blocks (biconnected components) of an undirected graph.

A serial implementation runs in O(n + m) time and space on a graph of n vertices and m edges. A parallel implementation runs in O(log n) time and O(n + m) space using O(n + m) processors on a. new parallel connectivity algorithm to compute the BC labeling in O(m=!+ n) writes, yielding the ﬁrst O(m+!n) work parallel algorithm for biconnectivity in the asymmetric memory setting.

We show: Theorem Graph connectivity and biconnectivity oracles can be constructed in parallel with. In this paper, we present deterministic parallel algorithms for the coarse grained multicomputer (CGM) and bulk-synchronous parallel computer (BSP) models which solve the following well known graph problems: (1) list ranking, (2) Euler tour construction, (3) computing the connected components and spanning forest, (4) lowest common ancestor preprocessing, (5) tree contraction and expression tree Cited by: Although many regular problems can be solved efficiently in parallel, obtaining efficient implementations for irregular graph problems remains a challenge.

We propose techniques for designing and implementing efficient parallel algorithms for graph problems on symmetric multiprocessors and chip multiprocessors with a case study of parallel tree and connectivity by: Researchers have developed efficient parallel algorithms to solve most problems for which efficient sequential solutions are known.

Although some ofthese algorithms are efficient only in a theoretical framework, many are quite efficient in practice or have key ideas that have been used in efficient. Simple Parallel Biconnectivity Algorithms for Multicore Platforms George M.

Slota Kamesh Madduri R. Tarjan, U. Vishkin, An Efficient Parallel Biconnectivity Algorithm, SIAM J. Comput., 14(4), ppSimple Parallel Biconnectivity Algorithms for Multicore Platforms. Using known results, this new algorithm implies logarithmic time optimal parallel algorithms for a number of other graph problems, including biconnectivity, Euler tours, strong orientation and st.

This report deals with a parallel algorithmic technique that has proved to be very useful in the design of efficient parallel algorithms for several problems on undirected graphs.

We describe this method for searching undirected graphs, called "open ear decomposition", and we relate this decomposition to graph biconnectivity. This paper presents results which improve the efficiency of parallel algorithms for computing the minimum spanning trees.

For an input graph with n vertices and m edges our EREW PRAM algorithm. Describes two parallel algorithms for ranking the pixels on a curve in O (log N) time using either an EREW or CREW PRAM model. The algorithms accomplish this with N processors for a square root N* square root N by:.

A preliminary version of this paper appeared as “ NC Algorithms for Partitioning Sparse Graphs into Induced Forests with an Application” in “Proc. 6th Internat. Symp. on Algorithms and Computation, 4–6 Decemberpp.

–”.Cited by: The Design and Analysis of Parallel Algorithms. Prentice-Hall, Efficient Graph Algorithms for Sequential and Parallel Computers. PhD thesis, Department of Electrical Engineering and Computer Science, MIT, [] Robert E.

Tarjan and Uzi Vishkin. An efficient parallel biconnectivity algorithm. SIAM Journal on Computing, 14(4.In designing a parallel algorithm, it is important to determine the efficiency of its use of available resources.

Once a parallel algorithm has been developed, a measurement should be used for evaluating its performance (or efficiency) on a parallel machine. A common measurement often used is File Size: KB.