Udit Gupta

Orcid: 0000-0002-9118-0961

Affiliations:

Cornell University, USA

According to our database¹, Udit Gupta authored at least 46 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

GreenScale: Carbon Optimization for Edge Computing.

[BibT_eX]

[DOI]

IEEE Internet Things J., August, 2025

Empowering Users to Make Sustainability-Forward Decisions for Computing Services.

[BibT_eX]

[DOI]

Sydney Young

Udit Gupta

Josiah D. Hester

Commun. ACM, July, 2025

Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion.

[BibT_eX]

[DOI]

Zhanqiu Hu

Jian Meng

Yash Akhauri

Mohamed S. Abdelfattah

Jae-sun Seo

Zhiru Zhang

Udit Gupta

CoRR, May, 2025

EcoServe: Designing Carbon-Aware AI Inference Systems.

[BibT_eX]

[DOI]

CoRR, February, 2025

A view of the sustainable computing landscape.

[BibT_eX]

[DOI]

Patterns, 2025

Slower is Greener: Acceptance of Eco-feedback Interventions on Carbon Heavy Internet Services.

[BibT_eX]

[DOI]

ACM J. Comput. Sustain. Soc., 2025

Hermes: Algorithm-System Co-design for Efficient Retrieval-Augmented Generation At-Scale.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Fair-CO2: Fair Attribution for Cloud Carbon Emissions.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

CORDOBA: Carbon-Efficient Optimization Framework for Computing Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

Silicon Foraging: Harvesting Excess Compute for Sustainable Edge Computing.

[BibT_eX]

[DOI]

Ilan Mandel

Udit Gupta

Proceedings of the 2025 ACM Designing Interactive Systems Conference, 2025

2024

Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference.

[BibT_eX]

[DOI]

CoRR, 2024

Carbon Connect: An Ecosystem for Sustainable Computing.

[BibT_eX]

[DOI]

CoRR, 2024

Information Flow Control in Machine Learning through Modular Model Architecture.

[BibT_eX]

[DOI]

Proceedings of the 33rd USENIX Security Symposium, 2024

3D IC Architecture Evaluation and Optimization with Digital Compute-in-Memory Designs.

[BibT_eX]

[DOI]

Hyung Joon Byun

Udit Gupta

Jae-sun Seo

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

GPU-based Private Information Retrieval for On-Device Machine Learning Inference.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Architectural CO<sub>2</sub> Footprint Tool: Designing Sustainable Computer Systems With an Architectural Carbon Modeling Tool.

[BibT_eX]

[DOI]

IEEE Micro, 2023

Design Space Exploration and Optimization for Carbon-Efficient Extended Reality Systems.

[BibT_eX]

[DOI]

CoRR, 2023

GreenScale: Carbon-Aware Systems for Edge Computing.

[BibT_eX]

[DOI]

CoRR, 2023

Peeling Back the Carbon Curtain: Carbon Optimization Challenges in Cloud Computing.

[BibT_eX]

[DOI]

Jaylen Wang

Udit Gupta

Akshitha Sriraman

Proceedings of the 2nd Workshop on Sustainable Computer Systems, 2023

Carbon-Efficient Design Optimization for Computing Systems.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Sustainable Computer Systems, 2023

MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

A Holistic Approach for Designing Carbon Aware Datacenters.

[BibT_eX]

[DOI]

CoRR, 2022

Sustainable AI: Environmental Implications, Challenges and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

ACT: designing sustainable computer systems with an architectural carbon modeling tool.

[BibT_eX]

[DOI]

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

Sustainable AI: Environmental Implications, Challenges and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2021

RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance.

[BibT_eX]

[DOI]

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

Chasing Carbon: The Elusive Environmental Footprint of Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

RecSSD: near data processing for solid state drive based recommendation inference.

[BibT_eX]

[DOI]

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

MLPerf Training Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Third Conference on Machine Learning and Systems, 2020

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing.

[BibT_eX]

[DOI]

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference.

[BibT_eX]

[DOI]

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Cross-Stack Workload Characterization of Deep Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

The Architectural Implications of Facebook's DNN-Based Personalized Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

Emerging Neural Workloads and Their Impact on Hardware.

[BibT_eX]

[DOI]

Ann Franchesca Laguna

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

MLPerf Training Benchmark.

[BibT_eX]

[DOI]

CoRR, 2019

The Architectural Implications of Facebook's DNN-based Personalized Recommendation.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Learning Recommendation Model for Personalization and Recommendation Systems.

[BibT_eX]

[DOI]

CoRR, 2019

A 16nm 25mm<sup>2</sup> SoC with a 54.5x Flexibility-Efficiency Range from Dual-Core Arm Cortex-A53 to eFPGA and Cache-Coherent Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Workshop on Programming and Performance Visualization Tools, 2019

MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

MASR: A Modular Accelerator for Sparse RNNs.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018

Weightless: Lossy weight encoding for deep neural network compression.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Ares: a framework for quantifying the resilience of deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Design Automation Conference, 2018

On-chip deep neural network storage with multi-level eNVM.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Design Automation Conference, 2018

Udit Gupta

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