DDStore

Jong Youl Choi; Massimiliano Lupo Pasini; Kshitij Mehta; Pei Zhang; Khaled Ibrahim; Jonghyun Bae

doi:10.11578/dc.20240209.1

DDStore

Jong Youl Choi
, Massimiliano Lupo Pasini
, Kshitij Mehta
, Pei Zhang
, Khaled Ibrahim
, Jonghyun Bae

Research output: Non-textual form › Software

Abstract

DDStore is designed to addresses random, read-oriented, global shuffle operations for data-intensive deep learning applications. By preserving global shuffling, DDStore ensures that deep learning model maintains high accuracy and generalizability when it is trained with large volume of data using HPC facilities.

Original language	American English
Place of Publication	United States
DOIs	https://doi.org/10.11578/dc.20240209.1
State	Published - 2024

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@misc{80fc9ff4eb4c43018af5ee075da700d0,

title = "DDStore",

abstract = "DDStore is designed to addresses random, read-oriented, global shuffle operations for data-intensive deep learning applications. By preserving global shuffling, DDStore ensures that deep learning model maintains high accuracy and generalizability when it is trained with large volume of data using HPC facilities.",

author = "Choi, \{Jong Youl\} and \{Lupo Pasini\}, Massimiliano and Kshitij Mehta and Pei Zhang and Khaled Ibrahim and Jonghyun Bae",

year = "2024",

doi = "10.11578/dc.20240209.1",

language = "American English",

}

TY - ADVS

T1 - DDStore

AU - Choi, Jong Youl

AU - Lupo Pasini, Massimiliano

AU - Mehta, Kshitij

AU - Zhang, Pei

AU - Ibrahim, Khaled

AU - Bae, Jonghyun

PY - 2024

Y1 - 2024

N2 - DDStore is designed to addresses random, read-oriented, global shuffle operations for data-intensive deep learning applications. By preserving global shuffling, DDStore ensures that deep learning model maintains high accuracy and generalizability when it is trained with large volume of data using HPC facilities.

AB - DDStore is designed to addresses random, read-oriented, global shuffle operations for data-intensive deep learning applications. By preserving global shuffling, DDStore ensures that deep learning model maintains high accuracy and generalizability when it is trained with large volume of data using HPC facilities.

U2 - 10.11578/dc.20240209.1

DO - 10.11578/dc.20240209.1

M3 - Software

CY - United States

ER -

DDStore

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