Exploring the DataFlow Supercomputing Paradigm Example Algorithms for Selected Applications /
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 additio...
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Other Authors: | , |
Format: | Electronic eBook |
Language: | English |
Published: |
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Springer International Publishing : Imprint: Springer,
2019.
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Edition: | 1st ed. 2019. |
Series: | Computer Communications and Networks,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Part I: Theoretical Issues
- A Method for Big-Graph Partitioning Using a Skeleton Graph
- On Cloud-Supported Web-Based Integrated Development Environments for Programming DataFlow Architectures
- Part II: Applications in Mathematics
- Minimization and Maximization of Functions: Golden Section Search in One Dimension
- Matrix-Based Algorithms for DataFlow Computer Architecture: An Overview and Comparison
- Application of Maxeler DataFlow Supercomputing to Spherical Code Design
- Part III: Applications in Image Understanding, Biomedicine, Physics Simulation, and Business
- Face Recognition Using Maxeler DataFlow
- Biomedical Image Processing Using Maxeler DataFlow Engines
- An Overview of Selected DataFlow Applications in Physics Simulations
- Bitcoin Mining Using Maxeler DataFlow Computers.