6 citations · 20 across the 10 of their papers we have counts for
10 papers
Beyond Efficiency: Scaling AI Sustainably
Carole-Jean Wu, Bilge Acun, Ramya Raghavendra +1
Barroso's seminal contributions in energy-proportional warehouse-scale computing launched an era where modern datacenters have become more energy efficient and cost effective than…
CHAI: Clustered Head Attention for Efficient LLM Inference
Saurabh Agarwal, Bilge Acun, Basil Hosmer +5
Large Language Models (LLMs) with hundreds of billions of parameters have transformed the field of machine learning. However, serving these models at inference time is both compute…
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…
GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation
Jhe-Yu Liou, Stephanie Forrest, Carole-Jean Wu
Parallel accelerators, such as GPUs, are key enablers for large-scale Machine Learning (ML) applications. However, ML model developers often lack detailed knowledge of the underlyi…
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…
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…