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Machine learning for FPGA electronic design automation
A. Biscontini
,
E. Popovici
, A. Temko
School of Engineering and Architecture
MaREI Research Ireland Centre for Energy, Climate and Marine
University College Cork
Qualcomm Incorporated
Research output
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Contribution to journal
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Article
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peer-review
Overview
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Computer Science
Machine Learning
100%
Learning System
100%
Field Programmable Gate Array
100%
Electronic Design Automation
100%
Machine Learning Algorithm
14%
Low Power Consumption
14%
Computational Efficiency
14%
Automation Tool
14%
Solution Quality
14%
Electronics Industry
14%
Space Representation
14%
Digital System
14%
Digital Machine
14%
Engineering
Learning System
100%
Field Programmable Gate Array
100%
Electronic Design Automation
100%
Low Power Consumption
14%
Computational Efficiency
14%
Machine Learning Algorithm
14%
Digital System
14%
Machine Learning Method
14%
Electronics Industry
14%
Desired Output
14%
Input Space
14%
Space Representation
14%