1 citations · 1 across the 3 of their papers we have counts for
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★ 1 cited
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…
cs.AR2024
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…