Search Results for author: Samuel Williams

Found 3 papers, 1 papers with code

FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks

no code implementations26 Apr 2024 Zhe Bai, Xishuo Wei, William Tang, Leonid Oliker, Zhihong Lin, Samuel Williams

Deep learning algorithms provide a new paradigm to study high-dimensional dynamical behaviors, such as those in fusion plasma systems.

Hierarchical Roofline Performance Analysis for Deep Learning Applications

1 code implementation11 Sep 2020 Charlene Yang, Yunsong Wang, Steven Farrell, Thorsten Kurth, Samuel Williams

This paper presents a practical methodology for collecting performance data necessary to conduct hierarchical Roofline analysis on NVIDIA GPUs.

Image Segmentation Semantic Segmentation

Time-Based Roofline for Deep Learning Performance Analysis

no code implementations9 Sep 2020 Yunsong Wang, Charlene Yang, Steven Farrell, Yan Zhang, Thorsten Kurth, Samuel Williams

Deep learning applications are usually very compute-intensive and require a long run time for training and inference.

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