Artificial Neural Network Optimizations for FPGA-Based Accelerators: Exploration of Low Numeric Precision, Sparsity, and Evolutionary Algorithms

Text Registration

Artificial Neural Network Optimizations for FPGA-Based Accelerators: Exploration of Low Numeric Precision, Sparsity, and Evolutionary Algorithms

Status

Published

on 5 Jun 2020

Year of Creation

2020

Philip Colangelo

Registration Number

TX0008883403

on 5 Jun 2020

The U.S. Copyright record (Registration Number: TX0008883403) dated 5 Jun 2020, pertains to an electronic file (eService) titled "Artificial Neural Network Optimizations for FPGA-Based Accelerators: Exploration of Low Numeric Precision, Sparsity, and Evolutionary Algorithms" created in 2020. The copyright holder is Philip Colangelo, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Philip Colangelo.

Philip Colangelo

Application Details

Registration Number

TX0008883403

Registration Date

6/5/2020

Year of Creation

2020

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Philip Colangelo

Notes

Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Artificial Neural Network Optimizations for FPGA-Based Accelerators: Exploration of Low Numeric Precision, Sparsity, and Evolutionary Algorithms

Author Statement: Philip Colangelo Authorship: text

Notes

Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Artificial Neural Network Optimizations for FPGA-Based Accelerators: Exploration of Low Numeric Precision, Sparsity, and Evolutionary Algorithms

Author Statement: Philip Colangelo Authorship: text

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