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Parallel Graph Algorithms

Parallel Graph Algorithms

Parallel Graph Algorithms. Kamesh Madduri KMadduri@lbl.gov. Talk Outline. Applications Parallel algorithm building blocks Kernels Data structures Parallel algorithm case studies Connected components BFS/Shortest paths Betweenness Centrality Performance on current systems Software

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1.13k views • 86 slides
CS 253: Algorithms

CS 253: Algorithms

CS 253: Algorithms. Chapter 23 Minimum Spanning Tree. Credit : Dr. George Bebis. 8. 7. b. c. d. 9. 4. 2. a. e. i. 11. 14. 4. 6. 7. 8. 10. h. g. f. 2. 1. Minimum Spanning Trees. Spanning Tree

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373 views • 25 slides
Approximating the Distance to Properties in Bounded-Degree and Sparse Graphs

Approximating the Distance to Properties in Bounded-Degree and Sparse Graphs

Approximating the Distance to Properties in Bounded-Degree and Sparse Graphs. Sharon Marko , Weizmann Institute Dana Ron , Tel Aviv University. Distance Approximation. Distance approximation is an extension of property testing.

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355 views • 23 slides
Representing Graphs

Representing Graphs

Representing Graphs. Adjacency Matrix. Suppose we have a graph G with n nodes. The adjacency matrix is the n x n matrix A=[a ij ] with:. a ij = 1 if (i,j) is an edge a ij = 0 if (i,j) is not an edge. Good for dense graphs!. 0 1 1 1. 1 0 1 1. A =. 1 1 0 1. 1 1 1 0. Example.

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306 views • 8 slides
ITEC 2620M Introduction to Data Structures

ITEC 2620M Introduction to Data Structures

ITEC 2620M Introduction to Data Structures. Instructor: Prof. Z. Yang Course Website: http://people.math.yorku.ca/~zyang/itec2620m.htm Office: TEL 3049. Graphs. Key Points of this Lecture. Graph Algorithms Definitions, representations, analysis Shortest paths Minimum-cost spanning tree.

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148 views • 8 slides

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