| 书目名称 | Distributed Graph Analytics | | 副标题 | Programming, Languag | | 编辑 | Unnikrishnan Cheramangalath,Rupesh Nasre,Y. N. Sri | | 视频video | | | 概述 | 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 nota | | 图书封面 |  | | 描述 | .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 differe | | 出版日期 | Book 2020 | | 关键词 | Graph Algorithms; Software Engineering; Model-Driven Software Engineering; Domain-Specific Languages; Co | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-41886-1 | | isbn_softcover | 978-3-030-41888-5 | | isbn_ebook | 978-3-030-41886-1 | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 16:44:17
