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University of Illinois at Urbana-Champaign

Exploiting and coping with sparsity to accelerate DNNs on CPUs

Abstract

dc:description

Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gong, Zhangxiaowen
Contributors dc:contributor
  • Torrellas, Josep
  • Fletcher, Christopher W
  • Hughes, Christopher J
  • Hwu, Wen-mei
  • Padua, David

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 2021 Zhangxiaowen Gong
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/113915
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/113915

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
citation

Gong, Zhangxiaowen. Exploiting and coping with sparsity to accelerate DNNs on CPUs. Dissertation thesis, University of Illinois at Urbana-Champaign, 2022. http://hdl.handle.net/2142/113915