2 papers
cs.AR2026
The xPU-athalon: Quantifying the Competition of AI Acceleration
Alicia Golden, Carole-Jean Wu, Gu-Yeon Wei +1
The push for greater efficiency in AI computation has given rise to an array of accelerator architectures that increasingly challenge the GPU's long-standing dominance. In this wor…
cs.DC2025
PRISM: Probabilistic Runtime Insights and Scalable Performance Modeling for Large-Scale Distributed Training
Alicia Golden, Michael Kuchnik, Samuel Hsia +4
Large model training beyond tens of thousands of GPUs is an uncharted territory. At such scales, disruptions to the training process are not a matter of if, but a matter of when --…