8 citations · 9 across the 8 of their papers we have counts for
3 papers · 1 filter
Generalizing Scaling Laws for Dense and Sparse Large Language Models
Md Arafat Hossain, Xingfu Wu, Valerie Taylor +1
Despite recent advancements of large language models (LLMs), optimally predicting the model size for LLM pretraining or allocating optimal resources still remains a challenge. Seve…
An Autotuning-based Optimization Framework for Mixed-kernel SVM Classifications in Smart Pixel Datasets and Heterojunction Transistors
Xingfu Wu, Tupendra Oli, Justin H. Qian +3
Support Vector Machine (SVM) is a state-of-the-art classification method widely used in science and engineering due to its high accuracy, its ability to deal with high dimensional…
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization
Xingfu Wu, Praveen Paramasivam, Valerie Taylor
Apache TVM (Tensor Virtual Machine), an open source machine learning compiler framework designed to optimize computations across various hardware platforms, provides an opportunity…