Publications | Research

Michael Bauer, Wonchan Lee, Elliott Slaughter, Zhihao Jia, Mario Di Renzo, Manolis Papadakis, Galen Shipman, Patrick McCormick, Michael Garland, Alex Aiken

Heterogeneous Dataflow Accelerators for Multi-DNN Workloads

Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra

Verifying High-Level Latency-Insensitive Designs with Formal Model Checking

Steve Dai, Alicia Klinefelter, Haoxing (Mark) Ren, Rangharajan Venkatesan, Ben Keller, Nathaniel Pinckney, Brucek Khailany

Transferable Task Execution from Pixels through Deep Planning Domain Learning

Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox

Ground-Referenced Single-Ended Signaling: Applications for High-Density Short-Haul Communication Systems

John Wilson, Walker Turner, John Poulton

SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference

Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Steve Keckler, Zhengya Zhang

Parasitic-Aware Analog Circuit Sizing with Graph Neural Networks and Bayesian Optimization

Mingjie Liu, Walker Turner, George Kokai, David Z. Pan, Brucek Khailany, Haoxing (Mark) Ren

MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification

Vidya A. Chhabria, Yanqing Zhang, Haoxing (Mark) Ren, Ben Keller, Brucek Khailany, Sachin S. Sapatnekar

Optimizing Image Quality for Holographic Near-eye Displays with Michelson Holography

Suyeon Choi, Jonghyun Kim, Yifan Peng, Gordon Wetzstein

Planning and Learning with Adaptive Lookahead

Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal

Hardware Abstractions for Targeting EDDO Architectures with the Polyhedral Model

Angshuman Parashar, Prasanth Chatarasi, Po-An Tsai

Federated Learning with Heterogeneous Architectures using Graph HyperNetworks

Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler

Standard Cell Routing with Reinforcement Learning and Genetic Algorithm in Advanced Technology Nodes

Haoxing (Mark) Ren, Matt Fojtik

Self-Supervised Learning for Domain Adaptation on Point-Clouds

Idan Achituve, Haggai Maron, Gal Chechik

From Generalized Zero-Shot Learning to Long-Tail with Class Descriptors

Dvir Samuel, Yuval Atzmon, Gal Chechik

Data-Free Knowledge Distillation for Object Detection

Akshay Chawla, Hongxu Danny Yin, Pavlo Molchanov, Jose M. Alvarez

Acting in Delayed Environments with Non-Stationary Markov Policies

Esther Derman, Gal Dalal, Shie Mannor

Flexion: A Quantitative Metric for Flexibility in DNN Accelerators

Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna

2007

A 14-mW 6.25-Gb/s Transceiver in 90-nm CMOS

John Poulton, Robert Palmer, Andy Fuller, Trey Greer, John Eyles, William Dally, Mark Horowitz

Simulation of Bubbles in Foam with the Volume Control Method

Byungmoon Kim, Yingjie Liu, Ignacio Llamas, Xiangmin Jiao, Jarek Rossignac,

A Hardware Redundancy and Recovery Mechanism for Reliable Scientific Computation on Graphics Processors

Jeremy Sheaffer, David Luebke, Kevin Skadron

A Hardware Architecture for Surface Splatting

Tim Weyrich, Simon Heinzle, Timo Aila, Daniel B. Fasnacht, Stephan Oetiker, Mario Botsch, Cyril Flaig, Simon Mall, Kaspar Rohrer, Norbert Felber, Hubert Kaeslin, Markus Gross

Advanced Techniques for Realistic Real-Time Skin Rendering

Eugene d'Eon, David Luebke

Iterative Methods for Improving Mesh Parameterizations

Shen Dong, Michael Garland

Incremental Instant Radiosity for Real-Time Indirect Illumination

Samuli Laine, Hannu Saransaari, Janne Kontkanen, Jaakko Lehtinen, Timo Aila