DataFlow Supercomputing Essentials Algorithms, Applications and Implementations /

• Κύριοι συγγραφείς: Milutinovic, Veljko (Συγγραφέας), Kotlar, Milos (Συγγραφέας), Stojanovic, Marko (Συγγραφέας), Dundic, Igor (Συγγραφέας), Trifunovic, Nemanja (Συγγραφέας), Babovic, Zoran (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Computer Communications and Networks,
• Θέματα: Computer science.; Computer system failures.; Operating systems (Computers).; Computer engineering.; Computer Science.; Operating Systems.; System Performance and Evaluation.; Computer Engineering.; Big Data.

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...

Πίνακας περιεχομένων:

• 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.