Transfer-Learning-Based Autotuning Using Gaussian Copula

2 code implementations • 9 Jan 2024 • Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul Hovland, Mary Hall, Rong Ge, Prasanna Balaprakash

We introduce the first generative TL-based autotuning approach based on the Gaussian copula (GC) to model the high-performing regions of the search space from prior data and then generate high-performing configurations for new tasks.

Transfer Learning

FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems

1 code implementation • 12 Dec 2023 • Thomas Randall, Tyler Allen, Rong Ge

Word2Vec remains one of the highly-impactful innovations in the field of Natural Language Processing (NLP) that represents latent grammatical and syntactical information in human text with dense vectors in a low dimension.