activity
20212023
most citedSustainable AI: Environmental Implications, Challenges and Opportunities

355 citations · 534 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DC2023★ 1 cited

Generative AI Beyond LLMs: System Implications of Multi-Modal Generation

Alicia Golden, Samuel Hsia, Fei Sun +8

As the development of large-scale Generative AI models evolve beyond text (1D) generation to include image (2D) and video (3D) generation, processing spatial and temporal informati…

cs.DC2023★ 5 cited

Carbon Responder: Coordinating Demand Response for the Datacenter Fleet

Jiali Xing, Bilge Acun, Aditya Sundarrajan +5

The increasing integration of renewable energy sources results in fluctuations in carbon intensity throughout the day. To mitigate their carbon footprint, datacenters can implement…

cs.DC2023

MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems

Samuel Hsia, Alicia Golden, Bilge Acun +5

Training and deploying large-scale machine learning models is time-consuming, requires significant distributed computing infrastructures, and incurs high operational costs. Our ana…

cs.AR2023★ 2 cited

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

Mariam Elgamal, Doug Carmean, Elnaz Ansari +8

As computing hardware becomes more specialized, designing environmentally sustainable computing systems requires accounting for both hardware and software parameters. Our goal is t…

cs.DC2023★ 2 cited

GreenScale: Carbon-Aware Systems for Edge Computing

Young Geun Kim, Udit Gupta, Andrew McCrabb +4

To improve the environmental implications of the growing demand of computing, future applications need to improve the carbon-efficiency of computing infrastructures. State-of-the-a…

cs.AR2023

MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation

Samuel Hsia, Udit Gupta, Bilge Acun +5

Deep learning recommendation systems serve personalized content under diverse tail-latency targets and input-query loads. In order to do so, state-of-the-art recommendation models…

cs.CR2023★ 1 cited

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

Maximilian Lam, Jeff Johnson, Wenjie Xiong +11

On-device machine learning (ML) inference can enable the use of private user data on user devices without revealing them to remote servers. However, a pure on-device solution to pr…

cs.DC2022★ 168 cited

Carbon Explorer: A Holistic Approach for Designing Carbon Aware Datacenters

Bilge Acun, Benjamin Lee, Fiodar Kazhamiaka +5

Technology companies have been leading the way to a renewable energy transformation, by investing in renewable energy sources to reduce the carbon footprint of their datacenters. I…

cs.LG2021★ 355 cited

Sustainable AI: Environmental Implications, Challenges and Opportunities

Carole-Jean Wu, Ramya Raghavendra, Udit Gupta +22

This paper explores the environmental impact of the super-linear growth trends for AI from a holistic perspective, spanning Data, Algorithms, and System Hardware. We characterize t…