2 papers
cs.PF2026
Characterizing Machine Learning Force Fields as Emerging Molecular Dynamics Workloads on Graphics Processing Units
Udari De Alwis, Benjamin E. Mayer, Tom J. Ashby +3
Molecular dynamics (MD) simulates the time evolution of atomic systems governed by interatomic forces, and the fidelity of these simulations depends critically on the underlying fo…
cs.AR2024
Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference
Joyjit Kundu, Wenzhe Guo, Ali BanaGozar +4
Aligning future system design with the ever-increasing compute needs of large language models (LLMs) is undoubtedly an important problem in today's world. Here, we propose a genera…