Search ResultsElectronic Resources
by
Hennessy, John L.
ScienceDirect https://www.sciencedirect.com/science/book/9781483207759
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concepts and algorithms used in modern computer arithmetic. Other chapters consider the abstractions and
by
Whitaker, Nigel Allen, author.
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this study. One area crucial to the performance of most parallel simulation algorithms is the
by
Forrest, Stephanie.
ScienceDirect https://www.sciencedirect.com/science/book/9780080513553
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underlying parallel machine, including computational completeness, programming and representation techniques
by
IBM Europe Institute Workshop on Large Scale Eigenvalue Problems (1985 : Oberlech, Austria)
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. Introduction to the Proceedings; Chapter 2. High Performance Computers and Algorithms from Linear Algebra
by
Yovits, M. C. (Marshall Clinton)
ScienceDirect https://www.sciencedirect.com/science/book/9780120121199
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; References; Chapter 2. The Structure of Parallel Algorithms; 1. Introduction; 2. The Space of Parallel
by
Franklin, Bryan M., author.
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different types of learning algorithms varies. Parallel algorithms perform well when enough computing
by
Yuan, Yang, author.
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Fourier analysis and compressed sensing for tuning hyperparameters. Harmonica supports parallel sampling
by
Gunn, Dylan J., author.
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-Recurrent Neural Network (LSTM-RNN) algorithms. In doing so, we have applied the Distributed TensorFlow framework
by
Wang, Jialei, author.
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machine, and utilize parallel computing resources to speed up the learning process. However, it also
by
Loh, Felix Da Yuan, author.
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techniques exploit the invariant properties of the algorithms used in these applications, and exploit the
by
Bower, Justin Edward, author.
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to this decision, a hybrid supervisory controller (HSC) had to be developed. Many complex algorithms
by
Ghasemzadeh, Mohammad, author.
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exploit the parallel nature of computations in different ML algorithms to deliver high-throughput and




