Designing scalable large-scale storage-based GNN framework by efficiently leveraging heterogeneous hardware resources

Park, Jeongmin

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University of Illinois at Urbana-Champaign

Designing scalable large-scale storage-based GNN framework by efficiently leveraging heterogeneous hardware resources

dc:creator Park, Jeongmin

thesis:degree_name Ph.D.

dc:date2024

Abstract

dc:description

The student, Jeongmin Park, submitted this Dissertation for approval on 2024-12-03 at 22:05.

Degree

thesis:*

Name thesis:degree_name: Ph.D.
Level thesis:degree_level: Dissertation
Discipline thesis:degree_discipline: Electrical & Computer Engr
Grantor: University of Illinois at Urbana-Champaign
Year dc:date: 2024

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Park, Jeongmin
Contributors dc:contributor: Hwu, Wen-mei
Patel, Sanjay
Chen, Deming
Lumetta, Steven S

Subjects

dc:subject × 6

Rights

dc:rights

Language dc:language: eng, en

Identifiers

dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2142/127395
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/127395

Chain of custody

source

Harvested from: University of Illinois - Urbana-Champaign
Base URL: www.ideals.illinois.edu/oai-pmh
Last updated: 2026-07-22
Source record: OAI-PMH GetRecord

related terms

citation

Park, Jeongmin. Designing scalable large-scale storage-based GNN framework by efficiently leveraging heterogeneous hardware resources. Dissertation thesis, University of Illinois at Urbana-Champaign, 2024. https://hdl.handle.net/2142/127395

Designing scalable large-scale storage-based GNN framework by efficiently leveraging heterogeneous hardware resources

Abstract

Degree

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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