Efficient and Scalable Large Multimodal Models (EECS-2024-186)
Sheng Shen

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning (EECS-2023-263)
Ritwik Gupta, Colorado Reed, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele and Trevor Darrell

Treating Models Better for Language-agnostic Understanding (EECS-2023-148)
Brian Yu

Exploring the Limits of Small Language Models (EECS-2023-141)
Nicholas Lee, Kurt Keutzer and Gopala Krishna Anumanchipalli

Learned Token Pruning for Efficient Transformer Inference (EECS-2023-119)
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun and Kurt Keutzer

Hardware Software Co-design and Architectural Optimization of Deep Learning Models for Natural Language Processing (EECS-2023-92)
Thanakul Wattanawong and Kurt Keutzer

Knowledge-Guided Self-Supervised Vision Transformers for Medical Imaging (EECS-2022-56)
Kevin Miao, Colorado Reed, Akash Gokul, Suzanne Petryk, Raghav Singh, Kurt Keutzer, Joseph Gonzalez and Trevor Darrell

Masked Layer Distillation: Fast and Robust Training Through Knowledge Transfer Normalization (EECS-2021-243)
Derek Wan, Paras Jain and Tianjun Zhang

ImageNet Training in Minutes (EECS-2020-18)
Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel and Kurt Keutzer

Large-Batch Training for LSTM and Beyond (EECS-2018-138)
Yang You, James Demmel, Kurt Keutzer, Cho-Jui Hsieh, Chris Ying and Jonathan Hseu

Driving dataset in the wild: Various driving scenes (EECS-2016-92)
Kurt Keutzer and Byung Gon Song

Quantifying the Energy Efficiency of Object Recognition and Optical Flow (EECS-2014-184)
Michael Anderson, Forrest Iandola and Kurt Keutzer

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests (EECS-2012-203)
David Sheffield, Michael Anderson and Kurt Keutzer

An Automatic Speech Recognition Application Framework for Highly Parallel Implementations on the GPU (EECS-2012-47)
Jike Chong, Ekaterina Gonina, Dorothea Kolossa, Steffen Zeiler and Kurt Keutzer

Parallelism, Patterns, and Performance in Iterative MRI Reconstruction (EECS-2011-134)
Mark Murphy

Recognition of Tibetan Wood Block Prints with Generalized Hidden Markov and Kernelized Modified Quadratic Distance Function (EECS-2010-139)
Fares Hedayati, Jike Chong and Kurt Keutzer

Recognition of Tibetan Wood Block Prints with Generalized Hidden Markov and Kernelized Modified Quadratic Distance Function (EECS-2010-138)
Fares Hedayati, Jike Chong and Kurt Keutzer

Communication-Avoiding QR Decomposition for GPUs (EECS-2010-131)
Michael Anderson, Grey Ballard, James Demmel and Kurt Keutzer

Copperhead: Compiling an Embedded Data Parallel Language (EECS-2010-124)
Bryan Catanzaro, Michael Garland and Kurt Keutzer

Dense Point Trajectories by GPU-accelerated Large Displacement Optical Flow (EECS-2010-104)
Narayanan Sundaram, Thomas Brox and Kurt Keutzer

SEJITS: Getting Productivity and Performance With Selective Embedded JIT Specialization (EECS-2010-23)
Bryan Catanzaro, Shoaib Ashraf Kamil, Yunsup Lee, Krste Asanović, James Demmel, Kurt Keutzer, John Shalf, Katherine A. Yelick and Armando Fox

Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors (EECS-2008-69)
Jike Chong, Youngmin Yi, Arlo Faria, Nadathur Rajagopalan Satish and Kurt Keutzer

Scheduling Task Dependence Graphs with Variable Task Execution Times onto Heterogeneous Multiprocessors (EECS-2008-42)
Nadathur Rajagopalan Satish, Kaushik Ravindran and Kurt Keutzer

The Parallel Computing Laboratory at U.C. Berkeley: A Research Agenda Based on the Berkeley View (EECS-2008-23)
Krste Asanović, Ras Bodik, James Demmel, Tony Keaveny, Kurt Keutzer, John D. Kubiatowicz, Edward A. Lee, Nelson Morgan, George Necula, David A. Patterson, Koushik Sen, John Wawrzynek, David Wessel and Katherine A. Yelick

Evaluating Architectures for Application-Specific Parallel Scientific Computing Systems (EECS-2008-13)
Mark Murphy, Kurt Keutzer, Leonid Oliker, Chris Rowen and John Shalf

Fast Support Vector Machine Training and Classification on Graphics Processors (EECS-2008-11)
Bryan Christopher Catanzaro, Narayanan Sundaram and Kurt Keutzer

The Landscape of Parallel Computing Research: A View from Berkeley (EECS-2006-183)
Krste Asanović, Ras Bodik, Bryan Christopher Catanzaro, Joseph James Gebis, Parry Husbands, Kurt Keutzer, David A. Patterson, William Lester Plishker, John Shalf, Samuel Webb Williams and Katherine A. Yelick

Designing a Sub-RISC Multi-Gigabit Regular Expression Processor (EECS-2006-119)
Andrew Christopher Mihal, Christian Sauer and Kurt Keutzer

Evaluating the Effectiveness of Statistical Gate Sizing for Power Optimization (M05/28)
Nadathur Satish, Kaushik Ravindran, Matthew Moskewicz, David Chinnery and Kurt Keutzer

Performance Analysis of the Peripheral-Processor Interaction in Embedded Systems (M03/26)
C. Sauer, M. Gries, C. Kulkarni and Kurt Keutzer

Multi-View Operation-level DesignSupporting the Design of Irregular ASIPs (M03/12)
. J. Weber, M. W. Moskewicz, M. Low and Kurt Keutzer

A Programming Model for Network Processors (M02/35)
N. Shah, W. Plishker and Kurt Keutzer

Why Is ATPG Easy? (M99/9)
P. Chong, M.R. Prasad and Kurt Keutzer

Synthesis for Testability Techniques for Asynchronous Circuits (M91/77)
Kurt Keutzer, L. Lavagno and Alberto L. Sangiovanni-Vincentelli

Synthesis of Verifiably Hazard-Free Asynchronous Control Circuits (M90/99)
L. Lavagno, Kurt Keutzer and Alberto L. Sangiovanni-Vincentelli