| 书目名称 | Exploring the DataFlow Supercomputing Paradigm |
| 副标题 | Example Algorithms f |
| 编辑 | Veljko Milutinovic,Milos Kotlar |
| 视频video | |
| 概述 | Addresses theoretical issues in the implementation of the DataFlow model.Examines a range of mathematical applications that benefit from the use of the DataFlow paradigm.Presents a varied selection of |
| 丛书名称 | Computer Communications and Networks |
| 图书封面 |  |
| 描述 | This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business..The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team: .DataFlow Supercomputing Essentials: Research, Development and Education., .DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations., and .Guide to DataFlow Supercomputing...Topics and Features: introduces a novel method of graph partitioning for large graphs involving the construction of a skeleton graph; describes a cloud-supported web-based integrated development environment that can develop and run programs without DataFlow hardware owned by the user; showcases a new approach for the calculation of the extrema of functions in one dimension, by implementing the Golden Section Search algorithm; reviews algorithms for a DataFlow architecture that uses matrices and vectors as the underlying data structure; presents an algorithm for spherical code des |
| 出版日期 | Book 2019 |
| 关键词 | Big data; DataFlow; Supercomputing; FPGA; Performance evaluation |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-13803-5 |
| isbn_softcover | 978-3-030-13805-9 |
| isbn_ebook | 978-3-030-13803-5Series ISSN 1617-7975 Series E-ISSN 2197-8433 |
| issn_series | 1617-7975 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 18:09:32
