Repositorio Institucional

 

Large-scale distributed deep learning : a study of mechanisms and trade-offs with PyTorch

Simple item page
dc.contributor.authorRojas, Elvis
dc.contributor.authorQuirós-Corella, Fabricio
dc.contributor.authorJones, Terry
dc.contributor.authorMeneses, Esteban
dc.date.accessioned2026-08-11T14:47:58Z
dc.date.available2026-08-11T14:47:58Z
dc.date.issued2022
dc.identifier.doihttps://doi.org/10.1007/978-3-031-04209-6_13
dc.identifier.urihttps://hdl.handle.net/20.500.12337/11837
dc.language.isoen_US
dc.publisherSwitzerland: Springer International Publishing AG
dc.relationhttps://doi.org/10.1007/978-3-031-04209-6_13
dc.relation.ispartofseriesCommunications in Computer and Information Science ((CCIS,volume 1540))
dc.rightsacceso abierto
dc.sourceHigh Performance Computing, 2022, vol.1540, pp.177-192
dc.subjectCOMPUTADORES
dc.subjectAPRENDIZAJE PROFUNDO
dc.subjectCOMPUTACIÓN DE ALTO RENDIMIENTO
dc.titleLarge-scale distributed deep learning : a study of mechanisms and trade-offs with PyTorch
dc.typeparte de libro

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Enlace para consultar el contenido.pdf
Size:
44.67 KB
Format:
Unknown data format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.03 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ARTICULOS CNCA