|
Title:
|
An enegy-efficient FPGA accelerator for convolutional neural networks
|
|
Author:
|
Delgado Ventosa, Berta
|
|
Other authors:
|
González Colás, Antonio María; Arnau Montañés, José María |
|
Abstract:
|
This project focuses on a state-of-the-art DNN specifically build for image clas sification. We develop a new architecture design that will run on an experimental Intel accelerator platform called HARP. We obtain low-power solution and evaluate the possibilities and requierements of HARPplatform. |
|
Subject(s):
|
-Àrees temàtiques de la UPC::Informàtica
-Neural networks (Computer science)
-Energy consumption
-Deep Neural Networks
-FPGA
-HARP
-Residual Networks.
-Xarxes neuronals (Informàtica)
-Energia -- Consum |
|
Rights:
|
|
|
Document type:
|
Research/Master Thesis |
|
Published by:
|
Universitat Politècnica de Catalunya
|
|
Share:
|
|
