2 papers
cs.DC2026
Benchmarking Compound AI Applications for Hardware-Software Co-Design
Paramuth Samuthrsindh, Angel Cervantes, Varun Gohil +3
Compound AI applications, composed from interactions between Large Language Models (LLMs), Machine Learning (ML) models, external tools and data sources are quickly becoming an int…
cs.DC2025
Lumos: Efficient Performance Modeling and Estimation for Large-scale LLM Training
Mingyu Liang, Hiwot Tadese Kassa, Wenyin Fu +3
Training LLMs in distributed environments presents significant challenges due to the complexity of model execution, deployment systems, and the vast space of configurable strategie…