Work

DYAD: Locality-aware Data Management for accelerating Deep Learning Training

Year: 2024

Type: conference-paper

Source: IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

DOI: 10.1109/sbac-pad63648.2024.00010

Authors: Hariharan Devarajan, Ian Lumsden, Chen Wang, Konstantia Georgouli, Tom Scogland, Jae-Seung Yeom, Michela Taufer

Institutions: Lawrence Livermore National Laboratory, University of Tennessee at Knoxville

Language: English

Topic: Advanced Data Storage Technologies

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: U.S. Department of Energy

OpenAlex ID: W4404789113

FWCI: 1.33

Cites: 33

Cited by: 3

Related to: 10