David Brooks
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
17
Active years
2003–2026
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATE | DreamRAM: A Fine-Grained Configurable Design Space Modeling Tool for Custom 3D Die-Stacked DRAM. | Victor Cai, Jennifer Zhou, David Brooks, Gu-Yeon Wei |
| 2026 | HPCA | RPU - A Reasoning Processing Unit. | Matthew Joseph Adiletta, Gu-Yeon Wei, David Brooks |
| 2026 | ISCA | RHODES: Robust Optimization for Uncertainty-Aware Design of CO | Mariam Elgamal, Abdulrahman Mahmoud, Gu-Yeon Wei, David Brooks, Gage Hills |
| 2026 | ISPASS | The xPU-athalon: Quantifying the Competition of AI Acceleration. | Alicia Golden, Carole-Jean Wu, Gu-Yeon Wei, David Brooks |
| 2025 | DATE | PFASware: Quantifying the Environmental Impact of Per- and Polyfluoroalkyl Substances (PFAS) in Computing Systems. | Mariam Elgamal, Abdulrahman Mahmoud, Gu-Yeon Wei, David Brooks, Gage Hills |
| 2025 | HPCA | CORDOBA: Carbon-Efficient Optimization Framework for Computing Systems. | Mariam Elgamal, Doug Carmean, Elnaz Ansari, Okay Zed, Ramesh Peri, Srilatha Manne, Udit Gupta, Gu-Yeon Wei, David Brooks, Gage Hills, Carole-Jean Wu |
| 2024 | ASPLOS | GPU-based Private Information Retrieval for On-Device Machine Learning Inference. | 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 | HPCA | CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning. | Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks |
| 2024 | ICLR | Guess & Sketch: Language Model Guided Transpilation. | Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush |
| 2024 | ISCA | BlitzCoin: Fully Decentralized Hardware Power Management for Accelerator-Rich SoCs. | 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 | ISCA | MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems. | Samuel Hsia, Alicia Golden, Bilge Acun, Newsha Ardalani, Zachary DeVito, Gu-Yeon Wei, David Brooks, Carole-Jean Wu |
| 2024 | ISLPED | JointNF: Enhancing DNN Performance through Adaptive N: M Pruning across both Weight and Activation. | Sai Qian Zhang, Thierry Tambe, Gu-Yeon Wei, David Brooks |
| 2024 | ISPASS | Generative AI Beyond LLMs: System Implications of Multi-Modal Generation. | 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 | ASPLOS | Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters. | Bilge Acun, Benjamin C. Lee, Fiodar Kazhamiaka, Kiwan Maeng, Udit Gupta, Manoj Chakkaravarthy, David Brooks, Carole-Jean Wu |
| 2023 | ASPLOS | MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation. | Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu |
| 2023 | DATE | MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. | Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi |
| 2023 | ISPASS | Characterizing the Scalability of Graph Convolutional Networks on Intel | 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 | ISPASS | Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory. | Alexander Hankin, Lillian Pentecost, Dongmoon Min, David Brooks, Gu-Yeon Wei |
| 2022 | DAC | A joint management middleware to improve training performance of deep recommendation systems with SSDs. | Chun-Feng Wu, Carole-Jean Wu, Gu-Yeon Wei, David Brooks |
| 2022 | DATE | OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge. | Tianyu Jia, En-Yu Yang, Yu-Shun Hsiao, Jonathan J. Cruz, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi |
| 2022 | DSN | GoldenEye: A Platform for Evaluating Emerging Numerical Data Formats in DNN Accelerators. | Abdulrahman Mahmoud, Thierry Tambe, Tarek Aloui, David Brooks, Gu-Yeon Wei |
| 2022 | HPCA | CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators. | Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks, Gu-Yeon Wei |
| 2022 | HPCA | NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. | Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks |
| 2022 | ICCAD | A Scalable Methodology for Agile Chip Development with Open-Source Hardware Components. | 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 | ISCA | ACT: designing sustainable computer systems with an architectural carbon modeling tool. | Udit Gupta, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu |
| 2022 | ICS | ASAP: automatic synthesis of area-efficient and precision-aware CGRAs. | Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li |
| 2022 | MICRO | Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. | Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi |
| 2021 | ASPLOS | RecSSD: near data processing for solid state drive based recommendation inference. | Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei |
| 2021 | HPCA | Chasing Carbon: The Elusive Environmental Footprint of Computing. | Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu |
| 2021 | HPCA | Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference. | Brandon Reagen, Wooseok Choi, Yeongil Ko, Vincent T. Lee, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks |
| 2021 | ICML | Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix. | Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher |
| 2021 | MICRO | RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. | Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin Sean Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks |
| 2021 | MICRO | EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference. | 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 |
| 2020 | DAC | Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. | Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei |
| 2020 | DAC | Invited: Software Defined Accelerators From Learning Tools Environment. | Antonino Tumeo, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Vinay Amatya, David Brooks, Gu-Yeon Wei |
| 2020 | DATE | Emerging Neural Workloads and Their Impact on Hardware. | 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 | HPCA | The Architectural Implications of Facebook's DNN-Based Personalized Recommendation. | 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 | ICCAD | SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators. | Marco Minutoli, Vito Giovanni Castellana, Cheng Tan, Joseph B. Manzano, Vinay Amatya, Antonino Tumeo, David Brooks, Gu-Yeon Wei |
| 2020 | ISCA | DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference. | Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu |
| 2020 | ISCA | RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. | 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 |
| 2019 | FCCM | FlexGibbs: Reconfigurable Parallel Gibbs Sampling Accelerator for Structured Graphs. | Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei |
| 2019 | FPL | Accelerating Bayesian Inference on Structured Graphs Using Parallel Gibbs Sampling. | Glenn G. Ko, Yuji Chai, Rob A. Rutenbar, David Brooks, Gu-Yeon Wei |
| 2019 | HPCA | Machine Learning at Facebook: Understanding Inference at the Edge. | 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 | ISPASS | Demystifying Bayesian Inference Workloads. | Yu Emma Wang, Yuhao Zhu, Glenn G. Ko, Brandon Reagen, Gu-Yeon Wei, David Brooks |
| 2019 | MICRO | MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation. | Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks |
| 2019 | SC | CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance. | Lillian Pentecost, Udit Gupta, Elisa Ngan, Johanna Beyer, Gu-Yeon Wei, David Brooks, Michael Behrisch |
| 2018 | DAC | On-chip deep neural network storage with multi-level eNVM. | Marco Donato, Brandon Reagen, Lillian Pentecost, Udit Gupta, David Brooks, Gu-Yeon Wei |
| 2018 | ICLR | Weightless: Lossy weight encoding for deep neural network compression. | Brandon Reagen, Udit Gupta, Robert Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks |
| 2018 | ICML | Weightless: Lossy weight encoding for deep neural network compression. | Brandon Reagen, Udit Gupta, Bob Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks |
| 2003 | MICCAI | A Navigation System for Augmenting Laparoscopic Ultrasound. | James Ellsmere, Jeffrey A. Stoll, David W. Rattner, David Brooks, Robert Kane, William M. Wells III, Ron Kikinis, Kirby G. Vosburgh |