£108.62

Springer Distributed Graph Analytics Programming and Languages

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Description

Distributed Graph Analytics: Programming, Languages, and Their Compilation provides an in-depth look at the intersection of graph algorithms and high-performance computing. As data and network analysis demands more scalable execution, this book addresses the necessary innovations required across multiple levels of development. Readers will explore the essential connections between algorithms, data structures, and hardware-specific implementation and tuning. The text covers how programming languages and compilers assist in automating efficient code generation for different architectures. By examining these core components, the book offers a comprehensive guide to managing the complexities of modern graph processing applications. Whether you are studying software design or high-performance computing, this Springer publication serves as a detailed resource for understanding the technical foundations of efficient graph execution.

Key Features

Covers the essential connection between graph algorithms and high-performance computing for better data analysis.

Explores innovations in algorithms and data structures to support scalable execution of graph processing applications.

Provides insights into tuning implementations to specific hardware for improved performance and efficiency.

Discusses the role of programming languages and compilers in automating code generation for various architectures.

Offers a structured approach to understanding the different levels of graph processing technology.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
18 April 2021
Listed Since
22 March 2021

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