DataFlow supercomputing essentials : algorithms, applications and implementations /

This illuminating text/reference reviews the fundamentals of programming for effective DataFlow computing. The DataFlow paradigm enables considerable increases in speed and reductions in power consumption for supercomputing processes, yet the programming model requires a distinctly different approac...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Milutinović, Veljko (Autor), Kotlar, Milos (Autor), Stojanovic, Marko (Autor), Dundic, Igor (Autor), Trifunovic, Nemanja (Writer on computing) (Autor), Babovic, Zoran (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham, Switzerland : Springer, 2017.
Colección:Computer communications and networks.
Temas:
Data flow computing.
Supercomputers.
Flux de données (Informatique)
Superordinateurs.
Systems analysis & design.
Computer science.
Databases.
Operating systems.
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Data flow computing
Supercomputers
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Part I: Algorithms
  • Implementing Neural Networks by Using the DataFlow Paradigm
  • Part II: Applications
  • Solving the Poisson Equation by Using Dataflow Technology
  • Binary Search in the DataFlow Paradigm
  • Part III: Implementations
  • Introductory Overview on Implementation Tools
  • DataFlow Systems: From Their Origins to Future Applications in Data Analytics, Deep Learning, and the Internet of Things.

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