On-chip deep neural network storage with multi-level eNVM. - Marco Donato; Brandon Reagen; Lillian Pentecost; Udit Gupta 001; David Brooks 001; Gu-Yeon Wei (DAC, 2018)

Ares: a framework for quantifying the resilience of deep neural networks. - Brandon Reagen; Udit Gupta 001; Lillian Pentecost; Paul N. Whatmough; Sae Kyu Lee; Niamh Mulholland; David M. Brooks; Gu-Yeon Wei (DAC, 2018)

Weightless: Lossy weight encoding for deep neural network compression. - Brandon Reagen; Udit Gupta 001; Robert Adolf; Michael Mitzenmacher; Alexander M. Rush; Gu-Yeon Wei; David Brooks 001 (ICLR (Workshop), 2018)

MASR: A Modular Accelerator for Sparse RNNs. - Udit Gupta 001; Brandon Reagen; Lillian Pentecost; Marco Donato; Thierry Tambe; Alexander M. Rush; Gu-Yeon Wei; David Brooks 001 (PACT, 2019)

MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation. - Lillian Pentecost; Marco Donato; Brandon Reagen; Udit Gupta 001; Siming Ma; Gu-Yeon Wei; David Brooks 001 (MICRO, 2019)

CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance. - Lillian Pentecost; Udit Gupta 001; Elisa Ngan; Johanna Beyer; Gu-Yeon Wei; David Brooks 001; Michael Behrisch 001 (ProTools@SC, 2019)

A 16nm 25mm2 SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators. - Paul N. Whatmough; Sae Kyu Lee; Marco Donato; Hsea-Ching Hsueh; Sam Likun Xi; Udit Gupta 001; Lillian Pentecost; Glenn G. Ko; David M. Brooks; Gu-Yeon Wei (VLSI Circuits, 2019)

Deep Learning Recommendation Model for Personalization and Recommendation Systems. - Maxim Naumov; Dheevatsa Mudigere; Hao-Jun Michael Shi; Jianyu Huang; Narayanan Sundaraman; Jongsoo Park; Xiaodong Wang 020; Udit Gupta 001; Carole-Jean Wu; Alisson G. Azzolini; Dmytro Dzhulgakov; Andrey Mallevich; et al. (CoRR, 2019)

The Architectural Implications of Facebook's DNN-based Personalized Recommendation. - Udit Gupta 001; Xiaodong Wang 020; Maxim Naumov; Carole-Jean Wu; Brandon Reagen; David Brooks 001; Bradford Cottel; Kim M. Hazelwood; Bill Jia; Hsien-Hsin S. Lee; Andrey Malevich; Dheevatsa Mudigere; et al. (CoRR, 2019)

MLPerf Training Benchmark. - Peter Mattson; Christine Cheng; Cody Coleman; Greg Diamos; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (CoRR, 2019)

Emerging Neural Workloads and Their Impact on Hardware. - David Brooks 001; Martin M. Frank; Tayfun Gokmen; Udit Gupta 001; Xiaobo Sharon Hu; Shubham Jain 004; Ann Franchesca Laguna; Michael T. Niemier; Ian O'Connor; Anand Raghunathan; Ashish Ranjan 001; Dayane Reis; et al. (DATE, 2020)

The Architectural Implications of Facebook's DNN-Based Personalized Recommendation. - Udit Gupta 001; Carole-Jean Wu; Xiaodong Wang 020; Maxim Naumov; Brandon Reagen; David Brooks 001; Bradford Cottel; Kim M. Hazelwood; Mark Hempstead; Bill Jia; Hsien-Hsin S. Lee; Andrey Malevich; et al. (HPCA, 2020)

Cross-Stack Workload Characterization of Deep Recommendation Systems. - Samuel Hsia; Udit Gupta 001; Mark Wilkening; Carole-Jean Wu; Gu-Yeon Wei; David Brooks 001 (IISWC, 2020)

DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference. - Udit Gupta 001; Samuel Hsia; Vikram Saraph; Xiaodong Wang 020; Brandon Reagen; Gu-Yeon Wei; Hsien-Hsin S. Lee; David Brooks 001; Carole-Jean Wu (ISCA, 2020)

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. - Liu Ke 001; Udit Gupta 001; Benjamin Youngjae Cho; David Brooks 001; Vikas Chandra; Utku Diril; Amin Firoozshahian; Kim M. Hazelwood; Bill Jia; Hsien-Hsin S. Lee; Meng Li 004; Bert Maher; et al. (ISCA, 2020)

MLPerf Training Benchmark. - Peter Mattson; Christine Cheng; Gregory F. Diamos; Cody Coleman; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (MLSys, 2020)

RecSSD: near data processing for solid state drive based recommendation inference. - Mark Wilkening; Udit Gupta 001; Samuel Hsia; Caroline Trippel; Carole-Jean Wu; David Brooks 001; Gu-Yeon Wei (ASPLOS, 2021)

Chasing Carbon: The Elusive Environmental Footprint of Computing. - Udit Gupta 001; Young Geun Kim 001; Sylvia Lee; Jordan Tse; Hsien-Hsin S. Lee; Gu-Yeon Wei; David Brooks 001; Carole-Jean Wu (HPCA, 2021)

RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. - Udit Gupta 001; Samuel Hsia; Jeff Zhang 001; Mark Wilkening; Javin Pombra; Hsien-Hsin Sean Lee; Gu-Yeon Wei; Carole-Jean Wu; David Brooks 001 (MICRO, 2021)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta 001; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; James Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (CoRR, 2021)

Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation. - Liu Ke 001; Udit Gupta 001; Mark Hempstead; Carole-Jean Wu; Hsien-Hsin S. Lee; Xuan Zhang 001 (HPCA, 2022)

ACT: designing sustainable computer systems with an architectural carbon modeling tool. - Udit Gupta 001; Mariam Elgamal; Gage Hills; Gu-Yeon Wei; Hsien-Hsin S. Lee; David Brooks 001; Carole-Jean Wu (ISCA, 2022)

Sustainable AI: Environmental Implications, Challenges and Opportunities. - Carole-Jean Wu; Ramya Raghavendra; Udit Gupta 001; Bilge Acun; Newsha Ardalani; Kiwan Maeng; Gloria Chang; Fiona Aga Behram; Jinshi Huang; Charles Bai; Michael Gschwind; Anurag Gupta; et al. (MLSys, 2022)

A Holistic Approach for Designing Carbon Aware Datacenters. - Bilge Acun; Benjamin C. Lee; Kiwan Maeng; Manoj Chakkaravarthy; Udit Gupta 001; David Brooks 001; Carole-Jean Wu (CoRR, 2022)

Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters. - Bilge Acun; Benjamin C. Lee; Fiodar Kazhamiaka; Kiwan Maeng; Udit Gupta 001; Manoj Chakkaravarthy; David Brooks 001; Carole-Jean Wu (ASPLOS (2), 2023)

MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation. - Samuel Hsia; Udit Gupta 001; Bilge Acun; Newsha Ardalani; Pan Zhong; Gu-Yeon Wei; David Brooks 001; Carole-Jean Wu (ASPLOS (3), 2023)

Carbon-Efficient Design Optimization for Computing Systems. - Mariam Elgamal; Doug Carmean; Elnaz Ansari; Okay Zed; Ramesh Peri; Srilatha Manne; Udit Gupta 001; Gu-Yeon Wei; David Brooks 001; Gage Hills; Carole-Jean Wu (HotCarbon, 2023)

Peeling Back the Carbon Curtain: Carbon Optimization Challenges in Cloud Computing. - Jaylen Wang; Udit Gupta 001; Akshitha Sriraman (HotCarbon, 2023)

GreenScale: Carbon-Aware Systems for Edge Computing. - Young Geun Kim 001; Udit Gupta 001; Andrew McCrabb; Yonglak Son; Valeria Bertacco; David Brooks 001; Carole-Jean Wu (CoRR, 2023)

Design Space Exploration and Optimization for Carbon-Efficient Extended Reality Systems. - Mariam Elgamal; Doug Carmean; Elnaz Ansari; Okay Zed; Ramesh Peri; Srilatha Manne; Udit Gupta 001; Gu-Yeon Wei; David Brooks 001; Gage Hills; Carole-Jean Wu (CoRR, 2023)

Architectural CO2 Footprint Tool: Designing Sustainable Computer Systems With an Architectural Carbon Modeling Tool. - Udit Gupta 001; Mariam Elgamal; Gage Hills; Gu-Yeon Wei; Hsien-Hsin S. Lee; David Brooks 001; Carole-Jean Wu (IEEE Micro, 2023)

GPU-based Private Information Retrieval for On-Device Machine Learning Inference. - Maximilian Lam; Jeff Johnson 004; Wenjie Xiong 001; Kiwan Maeng; Udit Gupta 001; Yang Li 183; Liangzhen Lai; Ilias Leontiadis; Minsoo Rhu; Hsien-Hsin S. Lee; Vijay Janapa Reddi; Gu-Yeon Wei; et al. (ASPLOS (1), 2024)

3D IC Architecture Evaluation and Optimization with Digital Compute-in-Memory Designs. - Hyung Joon Byun; Udit Gupta 001; Jae-sun Seo (ISLPED, 2024)

Information Flow Control in Machine Learning through Modular Model Architecture. - Trishita Tiwari; Suchin Gururangan; Chuan Guo 001; Weizhe Hua; Sanjay Kariyappa; Udit Gupta 001; Wenjie Xiong 001; Kiwan Maeng; Hsien-Hsin S. Lee; G. Edward Suh (USENIX Security Symposium, 2024)

Carbon Connect: An Ecosystem for Sustainable Computing. - Benjamin C. Lee; David Brooks 001; Arthur van Benthem; Udit Gupta 001; Gage Hills; Vincent Liu 001; Benjamin Pierce; Christopher Stewart; Emma Strubell; Gu-Yeon Wei; Adam Wierman; Yuan Yao 006; et al. (CoRR, 2024)

Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference. - Michael Shen; Muhammad Umar 002; Kiwan Maeng; G. Edward Suh; Udit Gupta 001 (CoRR, 2024)

Silicon Foraging: Harvesting Excess Compute for Sustainable Edge Computing. - Ilan Mandel; Udit Gupta 001 (Conference on Designing Interactive Systems, 2025)

CORDOBA: Carbon-Efficient Optimization Framework for Computing Systems. - Mariam Elgamal; Doug Carmean; Elnaz Ansari; Okay Zed; Ramesh Peri; Srilatha Manne; Udit Gupta 001; Gu-Yeon Wei; David Brooks 001; Gage Hills; Carole-Jean Wu (HPCA, 2025)

Fair-CO2: Fair Attribution for Cloud Carbon Emissions. - Leo Han; Jash Kakadia; Benjamin C. Lee; Udit Gupta 001 (ISCA, 2025)

Hermes: Algorithm-System Co-design for Efficient Retrieval-Augmented Generation At-Scale. - Michael Shen; Muhammad Umar 002; Kiwan Maeng; G. Edward Suh; Udit Gupta 001 (ISCA, 2025)

Slower is Greener: Acceptance of Eco-feedback Interventions on Carbon Heavy Internet Services. - Hyeonwook Kim; Sydney Young; Xuesi Chen; Udit Gupta 001; Josiah D. Hester (ACM J. Comput. Sustain. Soc., 2025)

A view of the sustainable computing landscape. - Benjamin C. Lee; David Brooks 001; Arthur van Benthem; Mariam Elgamal; Udit Gupta 001; Gage Hills; Vincent Liu 001; Linh Thi Xuan Phan; Benjamin Pierce; Christopher Stewart; Emma Strubell; Gu-Yeon Wei; et al. (Patterns, 2025)

EcoServe: Designing Carbon-Aware AI Inference Systems. - Yueying Li; Zhanqiu Hu; Esha Choukse; Rodrigo Fonseca; G. Edward Suh; Udit Gupta 001 (CoRR, 2025)

Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion. - Zhanqiu Hu; Jian Meng; Yash Akhauri; Mohamed S. Abdelfattah; Jae-sun Seo; Zhiru Zhang; Udit Gupta 001 (CoRR, 2025)

Empowering Users to Make Sustainability-Forward Decisions for Computing Services. - Sydney Young; Udit Gupta 001; Josiah D. Hester (Commun. ACM, 2025)

GreenScale: Carbon Optimization for Edge Computing. - Yonglak Son; Udit Gupta 001; Andrew McCrabb; Young-geun Kim 001; Valeria Bertacco; David Brooks 001; Carole-Jean Wu (IEEE Internet Things J., 2025)