Training of Deep Learning Pipelines on Memory-Constrained GPUs via Segmented Fused-Tiled Execution

Training models with massive inputs is a significant challenge in the development of Deep Learning pipelines to process very large digital image datasets as required by Whole Slide Imaging (WSI) in computational pathology and analysis of brain fMRI images in computational neuroscience. Graphics Proc...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Yufan, Sabin, Gerald, Raje, Saurabh, Sukumaran-Rajam, Aravind, Rountev, Atanas, Sadayappan, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302555/
https://www.ncbi.nlm.nih.gov/pubmed/35876769
http://dx.doi.org/10.1145/3497776.3517766

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302555/
https://www.ncbi.nlm.nih.gov/pubmed/35876769
http://dx.doi.org/10.1145/3497776.3517766

Ejemplares similares