Description: Distributed Graph Analytics : Programming, Languages, and Their Compilation, Paperback by Cheramangalath, Unnikrishnan; Nasre, Rupesh; Srikant, Y. N., ISBN 303041888X, ISBN-13 9783030418885, Like New Used, Free P&P in the UK
This book brings together two important trends: graph algorithms and high-performance computing. Efficient and scalable execution of graph processing applications in data or network analysis requires innovations at multiple levels: algorithms, associated data structures, their implementation and tuning to a particular hardware. Further, programming languages and the associated compilers play a crucial role when it comes to automating efficient code generation for various architectures. This book discusses the essentials of all these aspects.
Th is divided into three parts: programming, languages, and their compilation. The first part examines the manual parallelization of graph algorithms, revealing various parallelization patterns encountered, especially when dealing with graphs. The second part uses these patterns to provide language constructs that allow a graph algorithm to be specified. Programmers can work with these language constructs without worrying about their implementation, which is the focus of the third part. Implementation is handled by a compiler, which can specialize code generation for a backend device. Th also includes suggestive results on different platforms, which illustrate and justify the theory and practice covered. Together, the three parts provide the essential ingredients for creating a high-performance graph application. Th ends with a section on future directions, which offers several pointers to promising topics for future research.
This book is intended for new researchers as well as graduate and advanced undergraduate students. Most of the chapters can be read independently by those familiar with the basics of parallel programming and graph algorithms. However, to make the material more accessible, th includes a brief background on elementary graph algorithms, parallel computing and GPUs. Moreover it presents a case study using Falcon, a domain-specific language for graph algorithms, to illustrate the concepts.
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End Time: 2024-11-27T18:47:54.000Z
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Book Title: Distributed Graph Analytics : Programming, Languages, and Their C
Number of Pages: 207 Pages
Language: English
Publication Name: Distributed Graph Analytics: Programming, Languages, and Their Compilation
Publisher: Springer Nature Switzerland A&G
Publication Year: 2021
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 343 g
Type: Textbook
Author: Rupesh Nasre, Y. N. Srikant, Unnikrishnan Cheramangalath
Item Width: 155 mm
Format: Paperback