David Brooks

148 papers A* 28A 9B 6Misc 1Journal 78Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
EPOCHS-1: A 12 nm Highly Heterogeneous Open-Source SoC With Distributed Coin-Based Power Management and Integrated Hybrid Voltage Regulation.
IEEE J. Solid State Circuits
Joseph Zuckerman, Martin Cochet, Maico Cassel dos Santos, Erik Jens Loscalzo, Karthik Swaminathan, Tianyu Jia, Davide Giri, Thierry Tambe, Jeff Jun Zhang, Alper Buyuktosunoglu, Kuan-Lin Chiu, Giuseppe Di Guglielmo, Paolo Mantovani, Luca Piccolboni, Gabriele Tombesi, David Trilla, John-David Wellman, En-Yu Yang, Aporva Amarnath, Ying Jing, Bakshree Mishra, Joshua Park, Vignesh Suresh, Samira Zaliasl, Michael Lekas, Stephen Cahill, Hesam Sadeghi, Joseph Meyer, Noah Sturcken, Sarita V. Adve, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Pradip Bose, Luca P. Carloni
2026 A* conf
RPU - A Reasoning Processing Unit.
HPCA
Matthew Joseph Adiletta, Gu-Yeon Wei, David Brooks
2026 J jnl
RPU - A Reasoning Processing Unit.
CoRR
Matthew Joseph Adiletta, Gu-Yeon Wei, David Brooks
2025 J jnl
A view of the sustainable computing landscape.
Patterns
Benjamin C. Lee, David Brooks, Arthur van Benthem, Mariam Elgamal, Udit Gupta, Gage Hills, Vincent Liu, Linh Thi Xuan Phan, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu
2025 J jnl
BlitzCoin: A Decentralized Hardware Solution for Power Management of Highly Heterogeneous Systems on Chip.
IEEE Micro
Martin Cochet, Karthik Swaminathan, Erik Loscalzo, Joseph Zuckerman, Maico Cassel dos Santos, Davide Giri, Alper Buyuktosunoglu, Tianyu Jia, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Luca P. Carloni, Pradip Bose
2025 A* conf
CORDOBA: Carbon-Efficient Optimization Framework for Computing Systems.
HPCA
Mariam Elgamal, Doug Carmean, Elnaz Ansari, Okay Zed, Ramesh Peri, Srilatha Manne, Udit Gupta, Gu-Yeon Wei, David Brooks, Gage Hills, Carole-Jean Wu
2025 J jnl
Democratizing Customization for ML at the Edge Through Hetero-Chiplet SiP Architectures.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Matthew Joseph Adiletta, Gu-Yeon Wei, David Brooks
2025 J jnl
DreamRAM: A Fine-Grained Configurable Design Space Modeling Tool for Custom 3D Die-Stacked DRAM.
CoRR
Victor Cai, Jennifer Zhou, Haebin Do, David Brooks, Gu-Yeon Wei
2025 J jnl
FlexQuant: Elastic Quantization Framework for Locally Hosted LLM on Edge Devices.
CoRR
Yuji Chai, Mujin Kwen, David Brooks, Gu-Yeon Wei
2025 J jnl
GreenScale: Carbon Optimization for Edge Computing.
IEEE Internet Things J.
Yonglak Son, Udit Gupta, Andrew McCrabb, Young-geun Kim, Valeria Bertacco, David Brooks, Carole-Jean Wu
2025 J jnl
Modeling PFAS in Semiconductor Manufacturing to Quantify Trade-offs in Energy Efficiency and Environmental Impact of Computing Systems.
CoRR
Mariam Elgamal, Abdulrahman Mahmoud, Gu-Yeon Wei, David Brooks, Gage Hills
2025 A conf
PFASware: Quantifying the Environmental Impact of Per- and Polyfluoroalkyl Substances (PFAS) in Computing Systems.
DATE
Mariam Elgamal, Abdulrahman Mahmoud, Gu-Yeon Wei, David Brooks, Gage Hills
2025 J jnl
PRISM: Probabilistic Runtime Insights and Scalable Performance Modeling for Large-Scale Distributed Training.
CoRR
Alicia Golden, Michael Kuchnik, Samuel Hsia, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2025 J jnl
The Energy Cost of Reasoning: Analyzing Energy Usage in LLMs with Test-time Compute.
CoRR
Yunho Jin, Gu-Yeon Wei, David Brooks
2024 — conf
14.5 A 12nm Linux-SMP-Capable RISC-V SoC with 14 Accelerator Types, Distributed Hardware Power Management and Flexible NoC-Based Data Orchestration.
ISSCC
Maico Cassel dos Santos, Tianyu Jia, Joseph Zuckerman, Martin Cochet, Davide Giri, Erik Jens Loscalzo, Karthik Swaminathan, Thierry Tambe, Jeff Jun Zhang, Alper Buyuktosunoglu, Kuan-Lin Chiu, Giuseppe Di Guglielmo, Paolo Mantovani, Luca Piccolboni, Gabriele Tombesi, David Trilla, John-David Wellman, En-Yu Yang, Aporva Amarnath, Ying Jing, Bakshree Mishra, Joshua Park, Vignesh Suresh, Sarita V. Adve, Pradip Bose, David Brooks, Luca P. Carloni, Kenneth L. Shepard, Gu-Yeon Wei
2024 — conf
A 400-ns-Settling- Time Hybrid Dynamic Voltage Frequency Scaling Architecture and Its Application in a 22-Core Network-on-Chip SoC in 12-nm FinFET Technology.
VLSI Technology and Circuits
Erik Jens Loscalzo, Martin Cochet, Joseph Zuckerman, Samira Zalias, Michael Lekas, Stephen Cahill, Tianyu Jia, Karthik Swaminathan, Maico Cassel dos Santos, Davide Giri, Hesam Sadeghi, Joseph Meyer, Noah Sturcken, David Brooks, Gu-Yeon Wei, Luca P. Carloni, Pradip Bose, Kenneth L. Shepard
2024 A* conf
BlitzCoin: Fully Decentralized Hardware Power Management for Accelerator-Rich SoCs.
ISCA
Martin Cochet, Karthik Swaminathan, Erik Jens Loscalzo, Joseph Zuckerman, Maico Cassel dos Santos, Davide Giri, Alper Buyuktosunoglu, Tianyu Jia, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Luca P. Carloni, Pradip Bose
2024 A* conf
CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning.
HPCA
Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks
2024 J jnl
Carbon Connect: An Ecosystem for Sustainable Computing.
CoRR
Benjamin C. Lee, David Brooks, Arthur van Benthem, Udit Gupta, Gage Hills, Vincent Liu, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu
2024 J jnl
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU.
CoRR
Hyeri Roh, Jinsu Yeo, Yeongil Ko, Gu-Yeon Wei, David Brooks, Wooseok Choi
2024 — conf
GPU-based Private Information Retrieval for On-Device Machine Learning Inference.
ASPLOS (1)
Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh
2024 B conf
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation.
ISPASS
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024 J jnl
Guac: Energy-Aware and SSA-Based Generation of Coarse-Grained Merged Accelerators from LLVM-IR.
CoRR
Iulian Brumar, Rodrigo Rocha, Alex Bernat, Devashree Tripathy, David Brooks, Gu-Yeon Wei
2024 A* conf
Guess & Sketch: Language Model Guided Transpilation.
ICLR
Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush
2024 J jnl
Is Flash Attention Stable?
CoRR
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024 A conf
JointNF: Enhancing DNN Performance through Adaptive N: M Pruning across both Weight and Activation.
ISLPED
Sai Qian Zhang, Thierry Tambe, Gu-Yeon Wei, David Brooks
2024 A* conf
MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems.
ISCA
Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2024 J jnl
Nanoscaling Floating-Point (NxFP): NanoMantissa, Adaptive Microexponents, and Code Recycling for Direct-Cast Compression of Large Language Models.
CoRR
Yun-Chen Lo, Gu-Yeon Wei, David Brooks
2024 J jnl
Silent Data Corruption in Robot Operating System: A Case for End-to-End System-Level Fault Analysis Using Autonomous UAVs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2024 J jnl
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference.
Trans. Mach. Learn. Res.
Max Lam, Michael Mitzenmacher, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks
2024 — conf
VelociTI: An Architecture-level Performance Modeling Framework for Trapped Ion Quantum Computers.
IISWC
Alexander Hankin, Abdulrahman Mahmoud, Mark Hempstead, David Brooks, Gu-Yeon Wei
2023 — conf
A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management.
ISSCC
Thierry Tambe, Jeff Zhang, Coleman Hooper, Tianyu Jia, Paul N. Whatmough, Joseph Zuckerman, Maico Cassel dos Santos, Erik Jens Loscalzo, Davide Giri, Kenneth L. Shepard, Luca P. Carloni, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2023 J jnl
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs.
IEEE J. Solid State Circuits
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2023 J jnl
A Binary-Activation, Multi-Level Weight RNN and Training Algorithm for ADC-/DAC-Free and Noise-Resilient Processing-in-Memory Inference With eNVM.
IEEE Trans. Emerg. Top. Comput.
Siming Ma, David Brooks, Gu-Yeon Wei
2023 J jnl
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials.
Int. J. High Perform. Comput. Appl.
Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar
2023 J jnl
Architectural CO
IEEE Micro
Udit Gupta, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
2023 J jnl
CAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning.
CoRR
Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks
2023 — conf
Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters.
ASPLOS (2)
Bilge Acun, Benjamin C. Lee, Fiodar Kazhamiaka, Kiwan Maeng, Udit Gupta, Manoj Chakkaravarthy, David Brooks, Carole-Jean Wu
2023 J jnl
Carbon Responder: Coordinating Demand Response for the Datacenter Fleet.
CoRR
Jiali Xing, Bilge Acun, Aditya Sundarrajan, David Brooks, Manoj Chakkaravarthy, Nikky Avila, Carole-Jean Wu, Benjamin C. Lee
2023 — conf
Carbon-Efficient Design Optimization for Computing Systems.
HotCarbon
Mariam Elgamal, Doug Carmean, Elnaz Ansari, Okay Zed, Ramesh Peri, Srilatha Manne, Udit Gupta, Gu-Yeon Wei, David Brooks, Gage Hills, Carole-Jean Wu
2023 B conf
Characterizing the Scalability of Graph Convolutional Networks on Intel
ISPASS
Matthew Joseph Adiletta, Jesmin Jahan Tithi, Emmanouil-Ioannis Farsarakis, Gerasimos Gerogiannis, Robert Adolf, Robert Benke, Sidharth Kashyap, Samuel Hsia, Kartik Lakhotia, Fabrizio Petrini, Gu-Yeon Wei, David Brooks
2023 J jnl
Design Space Exploration and Optimization for Carbon-Efficient Extended Reality Systems.
CoRR
Mariam Elgamal, Doug Carmean, Elnaz Ansari, Okay Zed, Ramesh Peri, Srilatha Manne, Udit Gupta, Gu-Yeon Wei, David Brooks, Gage Hills, Carole-Jean Wu
2023 J jnl
Early DSE and Automatic Generation of Coarse-grained Merged Accelerators.
ACM Trans. Embed. Comput. Syst.
Iulian Brumar, Georgios Zacharopoulos, Yuan Yao, Saketh Rama, David Brooks, Gu-Yeon Wei
2023 J jnl
GPU-based Private Information Retrieval for On-Device Machine Learning Inference.
CoRR
Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh
2023 J jnl
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation.
CoRR
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023 J jnl
GreenScale: Carbon-Aware Systems for Edge Computing.
CoRR
Young Geun Kim, Udit Gupta, Andrew McCrabb, Yonglak Son, Valeria Bertacco, David Brooks, Carole-Jean Wu
2023 J jnl
Guess & Sketch: Language Model Guided Transpilation.
CoRR
Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush
2023 A* conf
Hardware Resilience Properties of Text-Guided Image Classifiers.
NeurIPS
Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud, Salman H. Khan, David Brooks, Gu-Yeon Wei
2023 J jnl
Hardware Resilience Properties of Text-Guided Image Classifiers.
CoRR
Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud, Salman Khan, David Brooks, Gu-Yeon Wei
2023 J jnl
INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation.
CoRR
Yuji Chai, John Gkountouras, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2023 B conf
Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory.
ISPASS
Alexander Hankin, Lillian Pentecost, Dongmoon Min, David Brooks, Gu-Yeon Wei
2023 J jnl
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems.
CoRR
Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023 A conf
MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles.
DATE
Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2023 J jnl
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation.
CoRR
Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023 — conf
MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation.
ASPLOS (3)
Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2023 J jnl
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices.
CoRR
Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough
2023 A* conf
S
NeurIPS
Yunho Jin, Chun-Feng Wu, David Brooks, Gu-Yeon Wei
2023 J jnl
S
CoRR
Yunho Jin, Chun-Feng Wu, David Brooks, Gu-Yeon Wei
2023 J jnl
SoCProbe: Compositional Post-Silicon Validation of Heterogeneous NoC-Based SoCs.
IEEE Des. Test
Gabriele Tombesi, Joseph Zuckerman, Paolo Mantovani, Davide Giri, Maico Cassel dos Santos, Tianyu Jia, David Brooks, Gu-Yeon Wei, Luca P. Carloni
2023 J jnl
Trireme: Exploration of Hierarchical Multi-level Parallelism for Hardware Acceleration.
ACM Trans. Embed. Comput. Syst.
Georgios Zacharopoulos, Adel Ejjeh, Ying Jing, En-Yu Yang, Tianyu Jia, Iulian Brumar, Jeremy Intan, Muhammad Huzaifa, Sarita V. Adve, Vikram S. Adve, Gu-Yeon Wei, David Brooks
2023 — conf
VelociTI: An Architecture-level Performance Modeling Framework for Trapped Ion Quantum Computers.
IISWC
Alexander Hankin, Abdulrahman Mahmoud, Mark Hempstead, David Brooks, Gu-Yeon Wei
2022 — conf
A 12nm Agile-Designed SoC for Swarm-Based Perception with Heterogeneous IP Blocks, a Reconfigurable Memory Hierarchy, and an 800MHz Multi-Plane NoC.
ESSCIRC
Tianyu Jia, Paolo Mantovani, Maico Cassel dos Santos, Davide Giri, Joseph Zuckerman, Erik Jens Loscalzo, Martin Cochet, Karthik Swaminathan, Gabriele Tombesi, Jeff Jun Zhang, Nandhini Chandramoorthy, John-David Wellman, Kevin Tien, Luca P. Carloni, Kenneth L. Shepard, David Brooks, Gu-Yeon Wei, Pradip Bose
2022 J jnl
A Holistic Approach for Designing Carbon Aware Datacenters.
CoRR
Bilge Acun, Benjamin C. Lee, Kiwan Maeng, Manoj Chakkaravarthy, Udit Gupta, David Brooks, Carole-Jean Wu
2022 A conf
A Scalable Methodology for Agile Chip Development with Open-Source Hardware Components.
ICCAD
Maico Cassel dos Santos, Tianyu Jia, Martin Cochet, Karthik Swaminathan, Joseph Zuckerman, Paolo Mantovani, Davide Giri, Jeff Jun Zhang, Erik Jens Loscalzo, Gabriele Tombesi, Kevin Tien, Nandhini Chandramoorthy, John-David Wellman, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Luca P. Carloni, Pradip Bose
2022 A* conf
A joint management middleware to improve training performance of deep recommendation systems with SSDs.
DAC
Chun-Feng Wu, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
2022 A* conf
ACT: designing sustainable computer systems with an architectural carbon modeling tool.
ISCA
Udit Gupta, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
2022 A conf
ASAP: automatic synthesis of area-efficient and precision-aware CGRAs.
ICS
Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li
2022 J jnl
Architectural Implications of Embedding Dimension during GCN on CPU and GPU.
CoRR
Matthew Adiletta, David Brooks, Gu-Yeon Wei
2022 A* conf
Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles.
MICRO
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
2022 J jnl
Bridging Python to Silicon: The SODA Toolchain.
IEEE Micro
Nicolas Bohm Agostini, Serena Curzel, Jeff Jun Zhang, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Antonino Tumeo
2022 J jnl
Chasing Carbon: The Elusive Environmental Footprint of Computing.
IEEE Micro
Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2022 A* conf
CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators.
HPCA
Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks, Gu-Yeon Wei
2022 J jnl
End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators.
IEEE Trans. Computers
Serena Curzel, Nicolas Bohm Agostini, Vito Giovanni Castellana, Marco Minutoli, Ankur Limaye, Joseph B. Manzano, Jeff Zhang, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo
2022 — conf
From High-Level Frameworks to custom Silicon with SODA.
HCS
Serena Curzel, Nicolas Bohm Agostini, Reece Neff, Ankur Limaye, Jeff Jun Zhang, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo
2022 A conf
GoldenEye: A Platform for Evaluating Emerging Numerical Data Formats in DNN Accelerators.
DSN
Abdulrahman Mahmoud, Thierry Tambe, Tarek Aloui, David Brooks, Gu-Yeon Wei
2022 J jnl
Impala: Low-Latency, Communication-Efficient Private Deep Learning Inference.
CoRR
Wooseok Choi, Brandon Reagen, Gu-Yeon Wei, David Brooks
2022 A* conf
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories.
HPCA
Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
2022 A conf
OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge.
DATE
Tianyu Jia, En-Yu Yang, Yu-Shun Hsiao, Jonathan J. Cruz, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2022 J jnl
OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge.
CoRR
Tianyu Jia, En-Yu Yang, Yu-Shun Hsiao, Jonathan J. Cruz, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2022 J jnl
SMIV: A 16-nm 25-mm² SoC for IoT With Arm Cortex-A53, eFPGA, and Coherent Accelerators.
IEEE J. Solid State Circuits
Sae Kyu Lee, Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2022 — conf
Sustainable AI: Environmental Implications, Challenges and Opportunities.
MLSys
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, Jinshi Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin C. Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood
2022 J jnl
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference.
CoRR
Maximilian Lam, Michael Mitzenmacher, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks
2022 J jnl
Trireme: Exploring Hierarchical Multi-Level Parallelism for Domain Specific Hardware Acceleration.
CoRR
Georgios Zacharopoulos, Adel Ejjeh, Ying Jing, En-Yu Yang, Tianyu Jia, Iulian Brumar, Jeremy Intan, Muhammad Huzaifa, Sarita V. Adve, Vikram S. Adve, Gu-Yeon Wei, David Brooks
2021 — conf
9.8 A 25mm
ISSCC
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2021 J jnl
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories.
CoRR
Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato
2021 A* conf
Chasing Carbon: The Elusive Environmental Footprint of Computing.
HPCA
Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2021 A* conf
Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference.
HPCA
Brandon Reagen, Wooseok Choi, Yeongil Ko, Vincent T. Lee, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks
2021 J jnl
Early DSE and Automatic Generation of Coarse Grained Merged Accelerators.
CoRR
Iulian Brumar, Georgios Zacharopoulos, Yuan Yao, Saketh Rama, Gu-Yeon Wei, David Brooks
2021 A* conf
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference.
MICRO
Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, Marco Donato, Victor Sanh, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2021 J jnl
Exploiting Parallelism Opportunities with Deep Learning Frameworks.
ACM Trans. Archit. Code Optim.
Yu Emma Wang, Carole-Jean Wu, Xiaodong Wang, Kim M. Hazelwood, David Brooks
2021 — conf
FlexACC: A Programmable Accelerator with Application-Specific ISA for Flexible Deep Neural Network Inference.
ASAP
En-Yu Yang, Tianyu Jia, David Brooks, Gu-Yeon Wei
2021 A* conf
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix.
ICML
Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher
2021 J jnl
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix.
CoRR
Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher
2021 J jnl
MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles.
CoRR
Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi
2021 J jnl
Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots.
CoRR
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
2021 J jnl
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories.
CoRR
Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
2021 A* conf
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance.
MICRO
Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin Sean Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
2021 J jnl
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance.
CoRR
Udit Gupta, Samuel Hsia, Jeff Jun Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin S. Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
2021 J jnl
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference.
CoRR
Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei
2021 A* conf
RecSSD: near data processing for solid state drive based recommendation inference.
ASPLOS
Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei
2021 — conf
SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33
HCS
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2021 J jnl
Sustainable AI: Environmental Implications, Challenges and Opportunities.
CoRR
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, James Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin C. Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood
2021 — conf
Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis.
ASAP
Jeff Jun Zhang, Nicolas Bohm Agostini, Shihao Song, Cheng Tan, Ankur Limaye, Vinay Amatya, Joseph B. Manzano, Marco Minutoli, Vito Giovanni Castellana, Antonino Tumeo, Gu-Yeon Wei, David Brooks
2020 — conf
A 3mm
VLSI Circuits
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2020 — conf
A Scalable Bayesian Inference Accelerator for Unsupervised Learning.
Hot Chips Symposium
Glenn G. Ko, Yuji Chai, Marco Donato, Paul N. Whatmough, Thierry Tambe, Rob A. Rutenbar, Gu-Yeon Wei, David Brooks
2020 — conf
A Systematic Methodology for Analysis of Deep Learning Hardware and Software Platforms.
MLSys
Yu Wang, Gu-Yeon Wei, David Brooks
2020 A* conf
Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference.
DAC
Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020 J jnl
CHIPKIT: An Agile, Reusable Open-Source Framework for Rapid Test Chip Development.
IEEE Micro
Paul N. Whatmough, Marco Donato, Glenn G. Ko, Sae Kyu Lee, David Brooks, Gu-Yeon Wei
2020 J jnl
CHIPKIT: An agile, reusable open-source framework for rapid test chip development.
CoRR
Paul N. Whatmough, Marco Donato, Glenn G. Ko, David Brooks, Gu-Yeon Wei
2020 J jnl
Chasing Carbon: The Elusive Environmental Footprint of Computing.
CoRR
Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
2020 J jnl
Cheetah: Optimizations and Methods for PrivacyPreserving Inference via Homomorphic Encryption.
CoRR
Brandon Reagen, Wooseok Choi, Yeongil Ko, Vincent T. Lee, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks
2020 — conf
Cross-Stack Workload Characterization of Deep Recommendation Systems.
IISWC
Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
2020 J jnl
Cross-Stack Workload Characterization of Deep Recommendation Systems.
CoRR
Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
2020 A* conf
DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference.
ISCA
Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
2020 J jnl
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference.
CoRR
Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
2020 J jnl
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP.
CoRR
Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2020 A conf
Emerging Neural Workloads and Their Impact on Hardware.
DATE
David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin
2020 A* conf
Invited: Software Defined Accelerators From Learning Tools Environment.
DAC
Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei
2020 — conf
MLPerf Training Benchmark.
MLSys
Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia
2020 A* conf
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing.
ISCA
Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, Xuan Zhang
2020 J jnl
SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads.
ACM Trans. Archit. Code Optim.
Sam Likun Xi, Yuan Yao, Kshitij Bhardwaj, Paul N. Whatmough, Gu-Yeon Wei, David Brooks
2020 A conf
SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators.
ICCAD
Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei
2020 A* conf
The Architectural Implications of Facebook's DNN-Based Personalized Recommendation.
HPCA
Udit Gupta, Carole-Jean Wu, Xiaodong Wang, Maxim Naumov, Brandon Reagen, David Brooks, Bradford Cottel, Kim M. Hazelwood, Mark Hempstead, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang
2020 J jnl
The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines.
IEEE Comput. Archit. Lett.
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
2019 J jnl
A 16-nm Always-On DNN Processor With Adaptive Clocking and Multi-Cycle Banked SRAMs.
IEEE J. Solid State Circuits
Sae Kyu Lee, Paul N. Whatmough, David Brooks, Gu-Yeon Wei
2019 J jnl
A binary-activation, multi-level weight RNN and training algorithm for processing-in-memory inference with eNVM.
CoRR
Siming Ma, David Brooks, Gu-Yeon Wei
2019 B conf
Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling.
FPL
Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2019 J jnl
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference.
CoRR
Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei
2019 — conf
Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM.
HPEC
Brian Plancher, Camelia D. Brumar, Iulian Brumar, Lillian Pentecost, Saketh Rama, David Brooks
2019 J jnl
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning.
CoRR
Yu Wang, Gu-Yeon Wei, David Brooks
2019 — conf
CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance.
ProTools@SC
Lillian Pentecost, Udit Gupta, Elisa Ngan, Johanna Beyer, Gu-Yeon Wei, David Brooks, Michael Behrisch
2019 B conf
Demystifying Bayesian Inference Workloads.
ISPASS
Yu Emma Wang, Yuhao Zhu, Glenn G. Ko, Brandon Reagen, Gu-Yeon Wei, David Brooks
2019 J jnl
Exploiting Parallelism Opportunities with Deep Learning Frameworks.
CoRR
Yu Emma Wang, Carole-Jean Wu, Xiaodong Wang, Kim M. Hazelwood, David Brooks
2019 Misc conf
FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs.
FCCM
Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei
2019 B conf
MASR: A Modular Accelerator for Sparse RNNs.
PACT
Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, David Brooks
2019 J jnl
MEMTI: Optimizing On-Chip Nonvolatile Storage for Visual Multitask Inference at the Edge.
IEEE Micro
Marco Donato, Lillian Pentecost, David Brooks, Gu-Yeon Wei
2019 J jnl
MLPerf Training Benchmark.
CoRR
Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia
2019 A* conf
Machine Learning at Facebook: Understanding Inference at the Edge.
HPCA
Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim M. Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang
2019 A* conf
MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation.
MICRO
Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks
2019 J jnl
SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads.
CoRR
Sam Likun Xi, Yuan Yao, Kshitij Bhardwaj, Paul N. Whatmough, Gu-Yeon Wei, David Brooks
2019 J jnl
The Architectural Implications of Facebook's DNN-based Personalized Recommendation.
CoRR
Udit Gupta, Xiaodong Wang, Maxim Naumov, Carole-Jean Wu, Brandon Reagen, David Brooks, Bradford Cottel, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang
2018 — conf
A Wide Dynamic Range Sparse FC-DNN Processor with Multi-Cycle Banked SRAM Read and Adaptive Clocking in 16nm FinFET.
ESSCIRC
Sae Kyu Lee, Paul N. Whatmough, Niamh Mulholland, Patrick Hansen, David Brooks, Gu-Yeon Wei
2018 A* conf
On-chip deep neural network storage with multi-level eNVM.
DAC
Marco Donato, Brandon Reagen, Lillian Pentecost, Udit Gupta, David Brooks, Gu-Yeon Wei
2018 — conf
Weightless: Lossy weight encoding for deep neural network compression.
ICLR (Workshop)
Brandon Reagen, Udit Gupta, Robert Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks
2018 A* conf
Weightless: Lossy weight encoding for deep neural network compression.
ICML
Brandon Reagen, Udit Gupta, Bob Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks
2017 J jnl
2017 International Symposium on Computer Architecture Influential Paper Award.
IEEE Micro
David Brooks
2017 — conf
Methods and infrastructure in the era of accelerator-centric architectures.
MWSCAS
Brandon Reagen, Yakun Sophia Shao, Sam Likun Xi, Gu-Yeon Wei, David Brooks
2017 J jnl
Ultra-Low-Power Processors.
IEEE Micro
David Brooks, John Sartori