It's All About PR - Smart Benchmarking AI Accelerators Using Performance Representatives

Download PDF
Open Webpage

Alexander Louis-Ferdinand Jung, Jannik Steinmetz, Jonathan Gietz, Konstantin Lübeck, Oliver Bringmann

Published: 2024, Last Modified: 15 May 2025SAMOS 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Statistical models are widely used to estimate the performance of commercial off-the-shelf (COTS) AI hardware accelerators. However, training of statistical performance models often requires vast amounts of data, leading to a significant time investment and can be difficult in case of limited hardware availability.