activity
20182021
most citedFastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA

23 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Hardware-efficient Residual Networks for FPGAs

Olivia Weng, Alireza Khodamoradi, Ryan Kastner

Residual networks (ResNets) employ skip connections in their networks -- reusing activations from previous layers -- to improve training convergence, but these skip connections cre…

cs.AR20202 cited

A Unified Model for Gate Level Propagation Analysis

Jeremy Blackstone, Wei Hu, Alric Althoff +3

Classic hardware verification techniques (e.g., X-propagation and fault-propagation) and more recent hardware security verification techniques based on information flow tracking (I…

eess.AS202023 cited

FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA

Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara +2

Autoregressive convolutional neural networks (CNNs) have been widely exploited for sequence generation tasks such as audio synthesis, language modeling and neural machine translati…

eess.IV2020

Patient Specific Biomechanics Are Clinically Significant In Accurate Computer Aided Surgical Image Guidance

Michael Barrow, Alice Chao, Qizhi He +3

Augmented Reality is used in Image Guided surgery (AR IG) to fuse surgical landmarks from preoperative images into a video overlay. Physical simulation is essential to maintaining…

cs.AR2018

Parallel Programming for FPGAs

Ryan Kastner, Janarbek Matai, Stephen Neuendorffer

This book focuses on the use of algorithmic high-level synthesis (HLS) to build application-specific FPGA systems. Our goal is to give the reader an appreciation of the process of…