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University of Illinois at Urbana-Champaign

Resource-efficient FPGA acceleration for machine learning applications through HLS

dc:creator Liu, Xinheng

thesis:degree_name Ph.D.

dc:date2022

Abstract

dc:description

Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01

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: 2022

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Liu, Xinheng
Contributors dc:contributor: Chen, Deming
Huang, Jian
Lumetta, Steven
Cheng, Zuofu

Subjects

dc:subject × 3

Rights

dc:rights

Statement dc:rights: Copyright 2022 Xinheng Liu
Language dc:language: en, eng

Identifiers

dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2142/115509
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/115509

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

Liu, Xinheng. Resource-efficient FPGA acceleration for machine learning applications through HLS. Dissertation thesis, University of Illinois at Urbana-Champaign, 2022. https://hdl.handle.net/2142/115509

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