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Field-programmable gate array architecture for deep learning: Survey & future directions
A Boutros, A Arora, V Betz - ar** and Optimization
N Jafarof, KB Kent - 2024 International Workshop on Rapid …, 2024 - ieeexplore.ieee.org
This study optimizes the Verilog-to-Routing (VTR) flow, an open-source Computer-Aided
Design (CAD) tool. It utilizes ODIN II and Parmys for synthesis, ABC for technology map** …
Design (CAD) tool. It utilizes ODIN II and Parmys for synthesis, ABC for technology map** …
Increasing FPGA CAD Adaptability using Reinforcement Learning and Smart Perturbations
MA Elgammal - 2024 - search.proquest.com
Field-programmable gate arrays (FPGAs) continue to evolve to best exploit the capabilities
of new manufacturing technologies and to meet new applications' needs. Hence, there is a …
of new manufacturing technologies and to meet new applications' needs. Hence, there is a …
CAD Algorithms and Benchmarks for NoC-enhanced and 3D-stacked FPGAs
F Mahmoudi - 2024 - search.proquest.com
The size and complexity of field programmable gate array (FPGA) devices have grown
rapidly to accommodate more complicated applications. Therefore, an efficient, flexible …
rapidly to accommodate more complicated applications. Therefore, an efficient, flexible …
Reconfigurable Architectures for Deep Learning
AMM Boutros - 2024 - search.proquest.com
Rapid increases in available training data and compute capabilities have fueled the
development of deep learning (DL) models that achieve unprecedented results on tasks that …
development of deep learning (DL) models that achieve unprecedented results on tasks that …