18 citations · 28 across the 5 of their papers we have counts for
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cs.LG2024★ 5 cited
Transfer-Learning-Based Autotuning Using Gaussian Copula
Thomas Randall, Jaehoon Koo, Brice Videau +6
As diverse high-performance computing (HPC) systems are built, many opportunities arise for applications to solve larger problems than ever before. Given the significantly increase…
cs.LG2023
FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems
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 t…
cs.LG2020★ 3 cited
Energy-Aware DNN Graph Optimization
Yu Wang, Rong Ge, Shuang Qiu
Unlike existing work in deep neural network (DNN) graphs optimization for inference performance, we explore DNN graph optimization for energy awareness and savings for power- and r…