Udit Gupta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
17
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATE | COFFEE: A Carbon-Modeling and Optimization Framework for HZO-based FeFET eNVMs. | Hongbang Wu, Xuesi Chen, Shubham Jadhav, Amit Lal, Lillian Pentecost, Udit Gupta |
| 2026 | Mobisys | A Greener Edge: A Framework on Carbon-aware Edge ML System Design. | Xuesi Chen, Ilan Mandel, Eren Yildiz, Josiah D. Hester, Udit Gupta |
| 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 |
| 2025 | ICCAD | CarbonClarity: Understanding and Addressing Uncertainty in Embodied Carbon for Sustainable Computing. | Xuesi Chen, Leo Han, Anvita Bhagavathula, Udit Gupta |
| 2025 | ICCAD | EPiCarbon: A Carbon Modeling Tool for Electro-Photonic Accelerators. | Farbin Fayza, Cansu Demirkiran, Satyavolu Papa Rao, Darius Bunandar, Udit Gupta, Ajay Joshi |
| 2025 | ISCA | Fair-CO2: Fair Attribution for Cloud Carbon Emissions. | Leo Han, Jash Kakadia, Benjamin C. Lee, Udit Gupta |
| 2025 | ISCA | Hermes: Algorithm-System Co-design for Efficient Retrieval-Augmented Generation At-Scale. | Michael Shen, Muhammad Umar, Kiwan Maeng, G. Edward Suh, Udit Gupta |
| 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 | ISLPED | 3D IC Architecture Evaluation and Optimization with Digital Compute-in-Memory Designs. | Hyung Joon Byun, Udit Gupta, Jae-sun Seo |
| 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 |
| 2022 | HPCA | Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation. | Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, Xuan Zhang |
| 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 |
| 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 | 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 | WCAE | Mentoring Opportunities in Computer Architecture: Analyzing the Past to Develop the Future. | Elba Garza, Gururaj Saileshwar, Udit Gupta, Tianyi Liu, Abdulrahman Mahmoud, Saugata Ghose, Joel S. Emer |
| 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 | 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 | HiPC | Fast and Accurate Learning of Knowledge Graph Embeddings at Scale. | Udit Gupta, Sathish Vadhiyar |
| 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 | DAC | Ares: a framework for quantifying the resilience of deep neural networks. | Brandon Reagen, Udit Gupta, Lillian Pentecost, Paul N. Whatmough, Sae Kyu Lee, Niamh Mulholland, David M. Brooks, Gu-Yeon Wei |
| 2018 | FPGA | Rosetta: A Realistic High-Level Synthesis Benchmark Suite for Software Programmable FPGAs. | Yuan Zhou, Udit Gupta, Steve Dai, Ritchie Zhao, Nitish Kumar Srivastava, Hanchen Jin, Joseph Featherston, Yi-Hsiang Lai, Gai Liu, Gustavo Angarita Velasquez, Wenping Wang, Zhiru Zhang |
| 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 |
| 2017 | FPGA | Dynamic Hazard Resolution for Pipelining Irregular Loops in High-Level Synthesis. | Steve Dai, Ritchie Zhao, Gai Liu, Shreesha Srinath, Udit Gupta, Christopher Batten, Zhiru Zhang |
| 2016 | MOBICOM | Benchmarking resource usage for spectrum sensing on commodity mobile devices. | Ayon Chakraborty, Udit Gupta, Samir R. Das |
| 2015 | FPGA | Mapping-Aware Constrained Scheduling for LUT-Based FPGAs. | Mingxing Tan, Steve Dai, Udit Gupta, Zhiru Zhang |
| 2010 | ICASSP | Characterization of movie genre based on music score. | Aida Austin, Elliot Moore II, Udit Gupta, Parag Chordia |