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Princeton University. Electrical Engineering. degree granting institution.

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California State University, Fullerton. Computer Engineering. degree granting institution.

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Purdue University. Electrical and Computer Engineering. degree granting institution.

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Carraher, Lee A., author.

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Chamala, Raveena, author. (orcid)0000-0001-5663-1977

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Chen, Tao, author.

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Chittamuru, Sai Vineel Reddy, author.

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North Carolina Agricultural and Technical State University. Electrical Engineering. degree granting institution.

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Wang, Jing, author.

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Automated Customization of ML Inference on FPGAs için kapak resmi

Automated Customization of ML Inference on FPGAs

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Automated Customization of ML Inference on FPGAs

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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

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which results in 9-fold reduction in memory footprint and 15-fold improvement in throughput without any

VHDL Auto-Generation Tool for Optimized Hardware Acceleration of Convolutional Neural Networks on FPGA (VGT) için kapak resmi

VHDL Auto-Generation Tool for Optimized Hardware Acceleration of Convolutional Neural Networks on FPGA (VGT)

14.

VHDL Auto-Generation Tool for Optimized Hardware Acceleration of Convolutional Neural Networks on FPGA (VGT)

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Hamdan, Muhammad K.A., 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:10745603

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small-scale model does not incorporate any external memory management for the CNN parameters, whereas

Design and Implementation of a Domain Specific Language for Deep Learning için kapak resmi

Design and Implementation of a Domain Specific Language for Deep Learning

15.

Design and Implementation of a Domain Specific Language for Deep Learning

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Huang, Xiao Bing, author. (orcid)0000-0002-1198-9526

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:10792864

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memory efficiency compared to the existing DL frameworks.

Timing-Safe Hardware-Level Information Flow Control için kapak resmi

Timing-Safe Hardware-Level Information Flow Control

16.

Timing-Safe Hardware-Level Information Flow Control

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Ferraiuolo, Andrew, 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:10817347

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processor. A novel memory scheduling algorithm for preventing timing channel attacks in a shared memory

Architectural Frameworks for Automated Design and Optimization of Hardware Accelerators için kapak resmi

Architectural Frameworks for Automated Design and Optimization of Hardware Accelerators

17.

Architectural Frameworks for Automated Design and Optimization of Hardware Accelerators

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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

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, variable memory latencies, which improves performance and reduces design effort by removing the need to

Interface Engineering of Voltage-Controlled Embedded Magnetic Random Access Memoryv için kapak resmi

Interface Engineering of Voltage-Controlled Embedded Magnetic Random Access Memoryv

18.

Interface Engineering of Voltage-Controlled Embedded Magnetic Random Access Memoryv

by

Li, Xiang, 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:10825094

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potential for high density and low power memory applications. This emerging Magnetoelectric Random Access

Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data için kapak resmi

Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data

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Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data

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Carraher, Lee A., 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:10891676

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analysis shows that our runtime and memory complexities are effectively linear and sub-linear respectively

Disk-to-disk Data Transfer using a Software Defined Networking Solution için kapak resmi

Disk-to-disk Data Transfer using a Software Defined Networking Solution

20.

Disk-to-disk Data Transfer using a Software Defined Networking Solution

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Zulfiqar, Junaid, 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:10810332

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transfer is to read the data from the disks and store it in memory. The second step in the transfer is to

Hardware and Software Accelerators for Big Data Machine Learning Workloads için kapak resmi

Hardware and Software Accelerators for Big Data Machine Learning Workloads

21.

Hardware and Software Accelerators for Big Data Machine Learning Workloads

by

Nitin, Nitin, 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:10272218

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operates on entire memory rows to exploit BDMLs' row-density. Millipede consists of thousands of corelets

Reliable, Energy-efficient, and Secure Silicon Photonic Network-on-Chip Design for Manycore Architectures için kapak resmi

Reliable, Energy-efficient, and Secure Silicon Photonic Network-on-Chip Design for Manycore Architectures

22.

Reliable, Energy-efficient, and Secure Silicon Photonic Network-on-Chip Design for Manycore Architectures

by

Chittamuru, Sai Vineel Reddy, 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:10746383

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processing cores and significant memory to be integrated on a chip, to meet the rapidly growing performance

Modeling and Resource Allocation in Mobile Wireless Networks için kapak resmi

Modeling and Resource Allocation in Mobile Wireless Networks

23.

Modeling and Resource Allocation in Mobile Wireless Networks

by

Wang, Jing, 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:10748116

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a novel autoencoder-based deep model for spatial modeling and Long Short-Term Memory units (LSTMs

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