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The University of Manchester (United Kingdom). Department of Computer Science. degree granting institution.

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Cover image for Parallel Algorithms for Computing and Applications of the Dense Canonical Polyadic Decomposition

Parallel Algorithms for Computing and Applications of the Dense Canonical Polyadic Decomposition

1.

Parallel Algorithms for Computing and Applications of the Dense Canonical Polyadic Decomposition

by

Hayashi, Koby B., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10813682

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Excerpt:

Parallel Algorithms for Computing and Applications of the Dense Canonical Polyadic Decomposition /

Cover image for High Performance Algorithms for Pan Sharpening Of Images

High Performance Algorithms for Pan Sharpening Of Images

2.

High Performance Algorithms for Pan Sharpening Of Images

by

Potnuru, Devajyothi, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10824768

Format:

Excerpt:

We investigated different Image Processing algorithms using sequential and cuda parallel

Cover image for Algorithms for Mining Maximal Quasi Frequent Subnetworks

Algorithms for Mining Maximal Quasi Frequent Subnetworks

3.

Algorithms for Mining Maximal Quasi Frequent Subnetworks

by

El Radie, Eihab Salah, author. (orcid)0000-0002-1473-5070

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10681142

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Excerpt:

. Despite the algorithm's parallelization, it takes much time and it does not allow relaxation. This

Cover image for An Analysis of the Computational Performance of a Massively Parallel Perceptual Image Quality Assesment Algorithm Implemented on Multiple Graphics Processing Units

An Analysis of the Computational Performance of a Massively Parallel Perceptual Image Quality Assesment Algorithm Implemented on Multiple Graphics Processing Units

4.

An Analysis of the Computational Performance of a Massively Parallel Perceptual Image Quality Assesment Algorithm Implemented on Multiple Graphics Processing Units

by

Holloway, Joshua Keegan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10187934

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fidelity. One way to improve the efficiency of such algorithms to meet real-time constraints is to use

Cover image for The exploitation of parallelism in logic simulation

The exploitation of parallelism in logic simulation

5.

The exploitation of parallelism in logic simulation

by

Whitaker, Nigel Allen, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10870983

Format:

Excerpt:

this study. One area crucial to the performance of most parallel simulation algorithms is the

Cover image for Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach

Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach

6.

Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach

by

Franklin, Bryan M., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10791719

Format:

Excerpt:

different types of learning algorithms varies. Parallel algorithms perform well when enough computing

Cover image for Provable and Practical Algorithms for Non-Convex Problems in Machine Learning

Provable and Practical Algorithms for Non-Convex Problems in Machine Learning

7.

Provable and Practical Algorithms for Non-Convex Problems in Machine Learning

by

Yuan, Yang, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10814646

Format:

Excerpt:

Fourier analysis and compressed sensing for tuning hyperparameters. Harmonica supports parallel sampling

Cover image for Active Cloud Authentication Based on Touch Dynamics with Distributed TensorFlow

Active Cloud Authentication Based on Touch Dynamics with Distributed TensorFlow

8.

Active Cloud Authentication Based on Touch Dynamics with Distributed TensorFlow

by

Gunn, Dylan J., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10786294

Format:

Excerpt:

-Recurrent Neural Network (LSTM-RNN) algorithms. In doing so, we have applied the Distributed TensorFlow framework

Cover image for Homogeneous and Coupled Distributed Learning

Homogeneous and Coupled Distributed Learning

9.

Homogeneous and Coupled Distributed Learning

by

Wang, Jialei, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10793665

Format:

Excerpt:

machine, and utilize parallel computing resources to speed up the learning process. However, it also

Cover image for Fault Tolerance through Invariant Checks in Applications Using Linear Algebraic Methods

Fault Tolerance through Invariant Checks in Applications Using Linear Algebraic Methods

10.

Fault Tolerance through Invariant Checks in Applications Using Linear Algebraic Methods

by

Loh, Felix Da Yuan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10825822

Format:

Excerpt:

techniques exploit the invariant properties of the algorithms used in these applications, and exploit the

Cover image for Optimization of Real Time Control Strategy for Parallel Plug-in Hybrid Electric Vehicle

Optimization of Real Time Control Strategy for Parallel Plug-in Hybrid Electric Vehicle

11.

Optimization of Real Time Control Strategy for Parallel Plug-in Hybrid Electric Vehicle

by

Bower, Justin Edward, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10809895

Format:

Excerpt:

to this decision, a hybrid supervisory controller (HSC) had to be developed. Many complex algorithms

Cover image for Automated Customization of ML Inference on FPGAs

Automated Customization of ML Inference on FPGAs

12.

Automated Customization of ML Inference on FPGAs

by

Ghasemzadeh, Mohammad, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10814231

Format:

Excerpt:

exploit the parallel nature of computations in different ML algorithms to deliver high-throughput and

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