activity
20202026
most citedSustainable AI: Environmental Implications, Challenges and Opportunities

355 citations · 647 across the 23 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

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.AI2023★ 3 cited

Data Acquisition: A New Frontier in Data-centric AI

Lingjiao Chen, Bilge Acun, Newsha Ardalani +8

As Machine Learning (ML) systems continue to grow, the demand for relevant and comprehensive datasets becomes imperative. There is limited study on the challenges of data acquisiti…

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

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…