From High-Level Deep Neural Models To FPGAs

·2016·DOI

Engineering and Technology

Communication and Signal Processing

Neural Network Architectures and Techniques

FPGA-Based Deep Learning Acceleration

Role in the Field

Neutralin Engineering and Technology

Neutralin Communication and Signal Processing

Neutralin Neural Network Architectures and Techniques

Neutralin FPGA-Based Deep Learning Acceleration

Abstract

Citations

321

Year

2016

PageRank

2.8 / 10

Relative influence (log-scaled)

Related Papers

10 of 10 papers

Angel-Eye: A Complete Design Flow For Mapping CNN Onto Embedded FPGA

·2018·414 citations

Can FPGAs Beat GPUs In Accelerating Next-Generation Deep Neural Networks?

·2017·306 citations

Accelerating Binarized Convolutional Neural Networks With Software-Programmable FPGAs

·2017·293 citations

Automated Systolic Array Architecture Synthesis For High Throughput CNN Inference On FPGAs

·2017·283 citations

Optimizing Loop Operation And Dataflow In FPGA Acceleration Of Deep Convolutional Neural Networks

·2017·264 citations

A Survey And Evaluation Of FPGA High-Level Synthesis Tools

·2016·404 citations

Optimizing FPGA-based Accelerator Design For Deep Convolutional Neural Networks

·2015·1,369 citations

CNP: An FPGA-based Processor For Convolutional Networks

·2009·262 citations

Architecture And CAD For Deep-Submicron FPGAS

·1999·791 citations

Array Architectures For Block Matching Algorithms

·1989·272 citations