Large-scale Graph Analysis: System, Algorithm and Optimization

Large-scale Graph Analysis: System, Algorithm and Optimization
Author :
Publisher : Springer Nature
Total Pages : 154
Release :
ISBN-10 : 9789811539282
ISBN-13 : 9811539286
Rating : 4/5 (82 Downloads)

Book Synopsis Large-scale Graph Analysis: System, Algorithm and Optimization by : Yingxia Shao

Download or read book Large-scale Graph Analysis: System, Algorithm and Optimization written by Yingxia Shao and published by Springer Nature. This book was released on 2020-07-01 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently. More concretely, it proposes a workload-aware cost model to guide the development of high-performance algorithms. On the basis of the cost model, the book subsequently presents a system-level optimization resulting in a partition-aware graph-computing engine, PAGE. In addition, it presents three efficient and scalable advanced graph algorithms – the subgraph enumeration, cohesive subgraph detection, and graph extraction algorithms. This book offers a valuable reference guide for junior researchers, covering the latest advances in large-scale graph analysis; and for senior researchers, sharing state-of-the-art solutions based on advanced graph algorithms. In addition, all readers will find a workload-aware methodology for designing efficient large-scale graph algorithms.


Large-scale Graph Analysis: System, Algorithm and Optimization Related Books

Large-scale Graph Analysis: System, Algorithm and Optimization
Language: en
Pages: 154
Authors: Yingxia Shao
Categories: Computers
Type: BOOK - Published: 2020-07-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optim
Frontiers in Massive Data Analysis
Language: en
Pages: 191
Authors: National Research Council
Categories: Mathematics
Type: BOOK - Published: 2013-09-03 - Publisher: National Academies Press

DOWNLOAD EBOOK

Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Coll
Advanced Software Technologies for Post-Peta Scale Computing
Language: en
Pages: 317
Authors: Mitsuhisa Sato
Categories: Computers
Type: BOOK - Published: 2018-12-06 - Publisher: Springer

DOWNLOAD EBOOK

Covering research topics from system software such as programming languages, compilers, runtime systems, operating systems, communication middleware, and large-
Graph Algorithms in the Language of Linear Algebra
Language: en
Pages: 388
Authors: Jeremy Kepner
Categories: Mathematics
Type: BOOK - Published: 2011-01-01 - Publisher: SIAM

DOWNLOAD EBOOK

The current exponential growth in graph data has forced a shift to parallel computing for executing graph algorithms. Implementing parallel graph algorithms and
Graph Mining
Language: en
Pages: 191
Authors: Deepayan Chakrabarti
Categories: Computers
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the