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Subject: Computer engineering.

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Washington State University. Electrical Engineering. degree granting institution.

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Berger, Arnold S.

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Cai, Ermao, author.

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California State University, Fresno. Electrical and Computer Engineering. degree granting institution.

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Carnegie Mellon University. Electrical and Computer Engineering. degree granting institution.

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Chen, Tao, author.

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Choi, Wonje, author.

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Cornell University. Electrical & Computer Engrng. degree granting institution.

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Das, Sourav, author. (orcid)0000-0002-7404-8133

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Dave, Abhilasha Harsukhbhai, author.

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Ghasemzadeh, Mohammad, author.

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Hennessy, John L.

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Patterson, David A.

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State University of New York at Binghamton. Systems Science Industrial Engineering. degree granting institution.

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Trembley, Daniel K., author.

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University of California, San Diego. Electrical Engineering (Computer Engineering). degree granting institution.

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Zelkowitz, Marvin V., 1945-

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Computer interfaces.

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Computer science.

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Cover image for Application of Machine Learning in Digital Logic Circuit Design Verification and Testing

Application of Machine Learning in Digital Logic Circuit Design Verification and Testing

1.

Application of Machine Learning in Digital Logic Circuit Design Verification and Testing

by

Dave, Abhilasha Harsukhbhai, 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:10824322

Format:

Excerpt:

Application of Machine Learning in Digital Logic Circuit Design Verification and Testing / Dave

Cover image for Machine Learning-inspired High-performance and Energy-efficient Heterogeneous Manycore Chip Design

Machine Learning-inspired High-performance and Energy-efficient Heterogeneous Manycore Chip Design

2.

Machine Learning-inspired High-performance and Energy-efficient Heterogeneous Manycore Chip Design

by

Choi, Wonje, 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:10746308

Format:

Excerpt:

Machine Learning-inspired High-performance and Energy-efficient Heterogeneous Manycore Chip Design /

Cover image for Computer organization and design : the hardware/software interface

Computer organization and design : the hardware/software interface

3.

Computer organization and design : the hardware/software interface

by

Hennessy, John L.

ScienceDirect https://www.sciencedirect.com/science/book/9781483207759

Format:

Excerpt:

machine -- Arithmetic for computers -- The processor : datapath and control -- Enhancing performance with

Cover image for Power/Performance Modeling and Optimization: Using and Characterizing Machine Learning Applications

Power/Performance Modeling and Optimization: Using and Characterizing Machine Learning Applications

4.

Power/Performance Modeling and Optimization: Using and Characterizing Machine Learning Applications

by

Cai, Ermao, 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:10827562

Format:

Excerpt:

systems. For technology-aware multi-core system design, we learn accurate performance and power models for

Cover image for Cyber-Physical Embedded Systems with Transient Supervisory Command and Control: A Framework for Validating Safety Response in Automated Collision Avoidance Systems

Cyber-Physical Embedded Systems with Transient Supervisory Command and Control: A Framework for Validating Safety Response in Automated Collision Avoidance Systems

5.

Cyber-Physical Embedded Systems with Transient Supervisory Command and Control: A Framework for Validating Safety Response in Automated Collision Avoidance Systems

by

Trembley, Daniel K., 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:10827571

Format:

Excerpt:

the CPS rather than on the correctness of its design. However, by using both human and machine agency

Cover image for Automated Customization of ML Inference on FPGAs

Automated Customization of ML Inference on FPGAs

6.

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:

requirements are necessary. My work proposes hardware-algorithm co-design approaches to customize ML inference

Cover image for Architectural issues

Architectural issues

7.

Architectural issues

by

Zelkowitz, Marvin V., 1945-

to access electronic resource
ScienceDirect http://www.sciencedirect.com/science/book/9780120121618

Format:

Excerpt:

exciting new prospect for future machine design.

Cover image for Architectural Frameworks for Automated Design and Optimization of Hardware Accelerators

Architectural Frameworks for Automated Design and Optimization of Hardware Accelerators

8.

Architectural Frameworks for Automated Design and Optimization of Hardware Accelerators

by

Chen, Tao, 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:10817553

Format:

Excerpt:

-oriented accelerator design methodology is costly and inefficient because it requires significant manual effort in the

Cover image for Towards Energy Efficient and Reliable 3D Manycore Chip Enabled by Machine Learning

Towards Energy Efficient and Reliable 3D Manycore Chip Enabled by Machine Learning

9.

Towards Energy Efficient and Reliable 3D Manycore Chip Enabled by Machine Learning

by

Das, Sourav, author. (orcid)0000-0002-7404-8133

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:10784159

Format:

Excerpt:

machine learning-based approach to overcome these computational challenges and design an efficient and

Cover image for Hardware and computer organization : the software perspective

Hardware and computer organization : the software perspective

10.

Hardware and computer organization : the software perspective

by

Berger, Arnold S.

ScienceDirect http://www.sciencedirect.com/science/book/9780750678865

Format:

Excerpt:

cooperatively interact to accomplish real-world tasks. Instead of simply demonstrating how to design a computers

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