5 papers
Power-Flexible AI Data Centers: A New Paradigm for Grid-Responsive Compute
Chris Williams, Philip Colangelo, Ayse Coskun +15
The rapid expansion of artificial intelligence (AI) infrastructure is driving unprecedented growth in electricity demand from data centers. Traditional power-system planning treats…
PALS: Power-Aware LLM Serving for Mixture-of-Experts Models
Can Hankendi, Rana Shahout, Minlan Yu +1
Large language model (LLM) inference has become a dominant workload in modern data centers, driving significant GPU utilization and energy consumption. While prior systems optimize…
A Practical Two-Stage Framework for GPU Resource and Power Prediction in Heterogeneous HPC Systems
Beste Oztop, Dhruva Kulkarni, Zhengji Zhao +2
Efficient utilization of GPU resources and power has become critical with the growing demand for GPUs in high-performance computing (HPC). In this paper, we analyze GPU utilization…
UniCoMTE: A Universal Counterfactual Framework for Explaining Time-Series Classifiers on ECG Data
Justin Li, Efe Sencan, Jasper Zheng Duan +3
Machine learning models, particularly deep neural networks, have demonstrated strong performance in classifying complex time series data. However, their black-box nature limits tru…
Turning AI Data Centers into Grid-Interactive Assets: Results from a Field Demonstration in Phoenix, Arizona
Philip Colangelo, Ayse K. Coskun, Jack Megrue +12
Artificial intelligence (AI) is fueling exponential electricity demand growth, threatening grid reliability, raising prices for communities paying for new energy infrastructure, an…