3 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.AR2025
Calibrating DRAMPower Model for HPC: A Runtime Perspective from Real-Time Measurements
Xinyu Shi, Dina Ali Abdelhamid, Thomas Ilsche +4
Main memory's rising energy consumption has emerged as a critical challenge in modern computing architectures, particularly in large-scale systems, driven by frequent access patter…
cs.AR2025
System-performance and cost modeling of Large Language Model training and inference
Wenzhe Guo, Joyjit Kundu, Uras Tos +4
Large language models (LLMs), based on transformer architectures, have revolutionized numerous domains within artificial intelligence, science, and engineering due to their excepti…