Distributed Graph Analytics

Programming, Languages, and Their Compilation

Authors: Cheramangalath, Unnikrishnan, Nasre, Rupesh, Srikant, Y.N.

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  • Presents the essentials of efficiently combining graph analysis algorithms and high performance computing
  • Describes several parallel algorithms used in distributed graph analytics in a high level notation along with examples
  • Includes suggestive results on different platforms, which highlight the theory and practice covered in the book
  • Illustrates many of the concepts using Falcon, a domain-specific language for graph algorithms
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eBook 96,29 €
price for Spain (gross)
  • ISBN 978-3-030-41886-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
About this book

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.

The book 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. The book 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. The book 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, the book 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.


About the authors

Unnikrishnan Cheramangalath is an Assistant Professor at the Indian Institute of Technology, Palakkad.  His research interests include domain-specific languages, compilation for distributed heterogeneous systems, and high-performance computing.

Rupesh Nasre is an Assistant Professor at the Department of Computer Science and Engineering at the Indian Institute of Technology, Madras. His research focuses on compilers and parallelization. He is a recipient of the Young Faculty Recognition Award at IIT Madras and the Cray HPC Award 2018.

Y.N. Srikant is Dean of the Faculty of Engineering and a Professor of Computer Science at the Indian Institute of Science, Bangalore. He was the recipient of the Indian National Science Academy’s Young Scientist Medal in 1988.  His general areas of interest are compiler design and programming languages, and most recently he has focused on compiler design, domain-specific languages for graph processing and information retrieval, type systems, formal models of Android, and machine learning techniques for compiler optimizations. His two video courses on compiler design produced by NPTEL are used in courses at several universities in India.

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook 96,29 €
price for Spain (gross)
  • ISBN 978-3-030-41886-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Distributed Graph Analytics
Book Subtitle
Programming, Languages, and Their Compilation
Authors
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-41886-1
DOI
10.1007/978-3-030-41886-1
Hardcover ISBN
978-3-030-41885-4
Edition Number
1
Number of Pages
XI, 207
Number of Illustrations
44 b/w illustrations
Topics