Multi-GPU distribution of single-batch, time-dependent linear products

Modern approaches to distributed deep learning focus on using more GPU nodes to process more data in parallel, updating the model weights using a distributed gradient update rule across all nodes. The main limitation of this paradigm is that it assumes that at least one sample of data can fit in a s...

Full description

Autores:

Margffoy Tuay, Edgar Andrés

Tipo de recurso:

Fecha de publicación:

2020

Institución:

Universidad de los Andes

Repositorio:

Séneca: repositorio Uniandes

Idioma:

eng

OAI Identifier:

oai:repositorio.uniandes.edu.co:1992/48619

Acceso en línea:

http://hdl.handle.net/1992/48619

Palabra clave:

Unidades de procesamiento gráfico
Aprendizaje automático (Inteligencia artificial)
Ingeniería

Rights

openAccess

License

http://creativecommons.org/licenses/by-nc-nd/4.0/