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, Mark Haoxing 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, Mark Haoxing Ren

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

Vidya A. Chhabria, Yanqing Zhang, Mark Haoxing 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

Mark Haoxing 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

2015

CCICheck: Using μhb Graphs to Verify the Coherence-Consistency Interface

Yatin A. Manerkar, Daniel Lustig, Michael Pellauer, Margaret Martonosi

A Scalable Architecture for Ordered Parallelism

Mark C. Jeffery, Suvinay Subramanian, Cong Yang, Joel Emer, Daniel Sanchez

A Fast and Accurate Analytical Technique to Compute the AVF of Sequential Bits in a Processor

Steve Raasch, Arijis Biswas, Jon Stephan, Paul Racunas, Joel Emer

Learning Sparse Metrics, One Feature at a Time

Yuval Atzmon, Uri Shalit, Gal Chechik

Robust Model-based 3D Head Pose Estimation

Gregory P Meyer, Shalini Gupta, Iuri Frosio, Dikpal Reddy, Jan Kautz

Network Endpoint Congestion Control for Fine-Grained Communication

Ted Jiang, Larry Dennison, William Dally

Exploiting Asymmetry in Booth-Encoded Multipliers for Reduced Energy Multiplication

Mike O'Connor, Earl Swartzlander, Jr.

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2021

2015

Filters

Publication Year

Research Areas

Events

2021

2015