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"Expertise in massive scale graph analytics is key for solving real-world grand challenges from health to sustainability to detecting insider threats, cyber defense, and more. Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring contributions from...
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| Group Author: | |
|---|---|
| Published: |
CRC Press, Taylor & Francis Group,
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| Publisher Address: | Boca Raton, FL : |
| Publication Dates: | 2022. |
| Literature type: | Book |
| Language: | English |
| Edition: | First edition. |
| Series: |
Chapman & Hall/CRC data science series
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| Subjects: | |
| Summary: |
"Expertise in massive scale graph analytics is key for solving real-world grand challenges from health to sustainability to detecting insider threats, cyber defense, and more. Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government. The book will be beneficial to students, researchers and practitioners, in academia, national laboratories, and industry, who wish to learn about the state-of-the-art algorithms, models, frameworks, and software in massive scale graph analytics"-- |
| Carrier Form: | xxv, 603 pages : illustrations ; 27 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780367464127 0367464128 9781032169231 1032169230 |
| Index Number: | QA166 |
| CLC: | O157.5-37 |
| Call Number: | O157.5-37/M418 |
| Contents: | A work-efficient parallel breadth-first search algorithm (or how to cope with the nondeterminism of reducers) / Charles E. Leiserson and Tao B. Schardl -- Multi-objective shortest paths / Stephan Erb, Moritz Kobitzsch, Lawrence Mandow, and Peter Sanders -- Multicore algorithms for graph connectivity problems / George M. Slota, Sivasankaran Rajamanickam, and Kamesh Madduri -- Distributed memory parallel algorithms for massive graphs / Maksudul Alam, Shaikh Arifuzzaman, Hasanuzzaman Bhuiyan, Maleq Khan, V.S. Anil Kumar, and Madhav Marathe -- Efficient multi-core algorithms for computing spanning forests and connected components / Fredrik Manne, Md. Mostofa Ali Patwary -- Massive-scale distributed triangle computation and applications / Geoffrey Sanders, Roger Pearce, Benjamin W. Priest, Trevor Steil -- Computing top-k closeness centrality in fully-dynamic graphs / Eugenio Angriman, Patrick Bisenius, Elisabetta Bergamini, Henning Meyerhenke -- Ordering heuristics for parallel graph coloring / William Hasenplaugh, Tim Kaler, Tao B. Schardl, and Charles E. Leiserson -- Partitioning trillion edge graphs / George M. Slota, Karen Devine, Sivasankaran Rajamanickam, Kamesh Madduri -- New phenomena in large-scale Internet traffic / Jeremy Kepner, Kenjiro Cho, KC Claffy, Vijay Gadepally, Sarah McGuire, Peter Michaleas, Lauren Milechin -- Parallel algorithms for butterfly computations / Jessica Shi and Julian Shun -- Recent advances in scalable network generation / Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, and Christian Schulz -- Computational models for cascades in massive graphs : how to spread a rumor in parallel / Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna -- Executing dynamic data-graph computations deterministically using chromatic scheduling / Tim Kaler, William Hasenplaugh, Tao B. Schardl, and Charles E. Leiserson -- Graph data science using Neo4j / Amy E. Hodler, Mark Needham -- The Parallel Boost Graph Library 2.0 / Nicholas Edmonds and Andrew Lumsdaine -- RAPIDS cuGraph / Alex Fender, Bradley Rees, Joe Eaton -- A cloud-based approach to big graphs / Paul Burkhardt and Christopher A. Waring -- Introduction to GraphBLAS / Jeremy Kepner, Scott McMillian, and Timothy G Mattson -- Graphulo : linear algebra graph kernels / Vijay Gadepally, Jake Bolewski, Daniel Hook, Shana Hutchison, Benjamin A Miller, Jeremy Kepner -- Interactive graph analytics at scale in Arkouda / Zhihui Du, Oliver Alvarado Rodriguez, Joseph Patchett, David A. Bader, Michael Merrill and William Reus. |