Udit Gupta

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 58

Top Topics

Computer Systems

Personalized Recommendation

Chemical Reaction

Top Venues

Publications

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
GPU-based Private Information Retrieval for On-Device Machine Learning Inference. ASPLOS (1) (2024)
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
Carbon Connect: An Ecosystem for Sustainable Computing. CoRR (2024)
Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh
Information Flow Control in Machine Learning through Modular Model Architecture. USENIX Security Symposium (2024)
Farbin Fayza, Satyavolu Papa Rao, Darius Bunandar, Udit Gupta, Ajay Joshi
Photonics for Sustainable Computing. CoRR (2024)
Young Geun Kim, Udit Gupta, Andrew McCrabb, Yonglak Son, Valeria Bertacco, David Brooks, Carole-Jean Wu
GreenScale: Carbon-Aware Systems for Edge Computing. CoRR (2023)
Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation. ASPLOS (3) (2023)
Mariam Elgamal, Doug Carmean, Elnaz Ansari, Okay Zed, Ramesh Peri, Srilatha Manne, Udit Gupta, Gu-Yeon Wei, David Brooks, Gage Hills, Carole-Jean Wu
Design Space Exploration and Optimization for Carbon-Efficient Extended Reality Systems. CoRR (2023)
Udit Gupta, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
Footprint Tool: Designing Sustainable Computer Systems With an Architectural Carbon Modeling Tool. IEEE Micro 43 (4) (2023)
Udit Gupta
GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models. CoRR (2023)
Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh
GPU-based Private Information Retrieval for On-Device Machine Learning Inference. CoRR (2023)
Bilge Acun, Benjamin Lee, Fiodar Kazhamiaka, Kiwan Maeng, Udit Gupta, Manoj Chakkaravarthy, David Brooks, Carole-Jean Wu
Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters. ASPLOS (2) (2023)
Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation. CoRR (2023)
Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh
Information Flow Control in Machine Learning through Modular Model Architecture. CoRR (2023)
Mariam Elgamal, Doug Carmean, Elnaz Ansari, Okay Zed, Ramesh Peri, Srilatha Manne, Udit Gupta, Gu-Yeon Wei, David Brooks, Gage Hills, Carole-Jean Wu
Carbon-Efficient Design Optimization for Computing Systems. HotCarbon (2023)
Jaylen Wang, Udit Gupta, Akshitha Sriraman
Peeling Back the Carbon Curtain: Carbon Optimization Challenges in Cloud Computing. HotCarbon (2023)
Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, Xuan Zhang
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation. CoRR (2022)
Bilge Acun, Benjamin Lee, Kiwan Maeng, Manoj Chakkaravarthy, Udit Gupta, David Brooks, Carole-Jean Wu
A Holistic Approach for Designing Carbon Aware Datacenters. CoRR (2022)
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 Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood
Sustainable AI: Environmental Implications, Challenges and Opportunities. MLSys (2022)
Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
Chasing Carbon: The Elusive Environmental Footprint of Computing. IEEE Micro 42 (4) (2022)
Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, Xuan Zhang
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation. HPCA (2022)
Udit Gupta, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
ACT: designing sustainable computer systems with an architectural carbon modeling tool. ISCA (2022)
Udit Gupta, Samuel Hsia, Jeff Jun Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin S. Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. CoRR (2021)
Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei
RecSSD: near data processing for solid state drive based recommendation inference. ASPLOS (2021)
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 Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim Hazelwood
Sustainable AI: Environmental Implications, Challenges and Opportunities. CoRR (2021)
Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
Chasing Carbon: The Elusive Environmental Footprint of Computing. HPCA (2021)
Mark Wilkening, Udit Gupta, Samuel Hsia, Caroline Trippel, Carole-Jean Wu, David Brooks, Gu-Yeon Wei
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference. CoRR (2021)
Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin Sean Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. MICRO (2021)
Elba Garza, Gururaj Saileshwar, Udit Gupta, Tianyi Liu, Abdulrahman Mahmoud, Saugata Ghose, Joel Emer
Mentoring Opportunities in Computer Architecture: Analyzing the Past to Develop the Future. WCAE (2021)
Udit Gupta, Dionisios G. Vlachos
Learning Chemistry of Complex Reaction Systems via a Python First-Principles Reaction Rule Stencil (pReSt) Generator. J. Chem. Inf. Model. 61 (7) (2021)
Udit Gupta, Dionisios G. Vlachos
Reaction Network Viewer (ReNView): An open-source framework for reaction path visualization of chemical reaction systems. SoftwareX 11 (2020)
Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference. ISCA (2020)
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
The Architectural Implications of Facebook's DNN-Based Personalized Recommendation. HPCA (2020)
Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference. CoRR (2020)
Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
Cross-Stack Workload Characterization of Deep Recommendation Systems. IISWC (2020)
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
MLPerf Training Benchmark. MLSys (2020)
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
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. ISCA (2020)
Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu, Gu-Yeon Wei, David Brooks
Cross-Stack Workload Characterization of Deep Recommendation Systems. CoRR (2020)
Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
Chasing Carbon: The Elusive Environmental Footprint of Computing. CoRR (2020)
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
Emerging Neural Workloads and Their Impact on Hardware. DATE (2020)
Udit Gupta, Brandon Reagen, Lillian Pentecost, Marco Donato, Thierry Tambe, Alexander M. Rush, Gu-Yeon Wei, David Brooks
MASR: A Modular Accelerator for Sparse RNNs. PACT (2019)
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
MLPerf Training Benchmark. CoRR (2019)
Lillian Pentecost, Udit Gupta, Elisa Ngan, Johanna Beyer, Gu-Yeon Wei, David Brooks, Michael Behrisch
CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance. ProTools@SC (2019)
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
The Architectural Implications of Facebook's DNN-based Personalized Recommendation. CoRR (2019)
Liu Ke, Udit Gupta, Carole-Jean Wu, Benjamin Youngjae Cho, Mark Hempstead, Brandon Reagen, Xuan Zhang, David M. 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
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. CoRR (2019)
Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks
MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation. MICRO (2019)
Paul N. Whatmough, Sae Kyu Lee, Marco Donato, Hsea-Ching Hsueh, Sam Likun Xi, Udit Gupta, Lillian Pentecost, Glenn G. Ko, David M. Brooks, Gu-Yeon Wei
SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators. VLSI Circuits (2019)
Udit Gupta, Sathish Vadhiyar
Fast and Accurate Learning of Knowledge Graph Embeddings at Scale. HiPC (2019)
Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, Misha Smelyanskiy
Deep Learning Recommendation Model for Personalization and Recommendation Systems. CoRR (2019)
Marco Donato, Brandon Reagen, Lillian Pentecost, Udit Gupta, David Brooks, Gu-Yeon Wei
On-chip deep neural network storage with multi-level eNVM. DAC (2018)
Brandon Reagen, Udit Gupta, Bob Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks
Weightless: Lossy weight encoding for deep neural network compression. ICML (2018)
Brandon Reagen, Udit Gupta, Lillian Pentecost, Paul N. Whatmough, Sae Kyu Lee, Niamh Mulholland, David M. Brooks, Gu-Yeon Wei
Ares: a framework for quantifying the resilience of deep neural networks. DAC (2018)
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
Rosetta: A Realistic High-Level Synthesis Benchmark Suite for Software Programmable FPGAs. FPGA (2018)
Brandon Reagen, Udit Gupta, Robert Adolf, Michael Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David Brooks
Weightless: Lossy weight encoding for deep neural network compression. ICLR (Workshop) (2018)
Rahul Pawar, Aaron Albin, Udit Gupta, Hrishikesh Rao, Caroline Carberry, Amarelle Hamo, Rebecca M. Jones, Catherine Lord, Mark A. Clements
Automatic analysis of LENA recordings for language assessment in children aged five to fourteen years with application to individuals with autism. BHI (2017)
Steve Dai, Ritchie Zhao, Gai Liu, Shreesha Srinath, Udit Gupta, Christopher Batten, Zhiru Zhang
Dynamic Hazard Resolution for Pipelining Irregular Loops in High-Level Synthesis. FPGA (2017)
Brandon Reagen, Udit Gupta, Robert Adolf, Michael M. Mitzenmacher, Alexander M. Rush, Gu-Yeon Wei, David M. Brooks
Weightless: Lossy Weight Encoding For Deep Neural Network Compression. CoRR (2017)
Ayon Chakraborty, Udit Gupta, Samir R. Das
Benchmarking resource usage for spectrum sensing on commodity mobile devices. HotWireless@MobiCom (2016)
Udit Gupta, Seongmin Heo, Aditya Bhan, Prodromos Daoutidis
Time scale decomposition in complex reaction systems: A graph theoretic analysis. Comput. Chem. Eng. 95 (2016)
Udit Gupta
Comparison between security majors in virtual machine and linux containers. CoRR (2015)
Udit Gupta
Application of Multi factor authentication in Internet of Things domain. CoRR (2015)
Udit Gupta
Monitoring in IOT enabled devices. CoRR (2015)
Mingxing Tan, Steve Dai, Udit Gupta, Zhiru Zhang
Mapping-Aware Constrained Scheduling for LUT-Based FPGAs. FPGA (2015)
Udit Gupta, Elliot Moore II, Alexander Lerch
On the perceptual relevance of objective source separation measures for singing voice separation. WASPAA (2015)
Udit Gupta
Secure management of logs in internet of things. CoRR (2015)
Udit Gupta
Survey on security issues in file management in cloud computing environment. CoRR (2015)
Aida Austin, Elliot Moore II, Udit Gupta, Parag Chordia
Characterization of movie genre based on music score. ICASSP (2010)