Back to results

University of Illinois at Urbana-Champaign

Compiler Analysis of Sparse and Irregular Computations

Abstract

dc:description

We have studied five different possible parallelization methods for irregular reduction loops, all of which can be applied automatically by a compiler. We compared their ease of use, applicability, supporting compiler techniques required, run-time resource requirement, and, most importantly, run-time performance. From our analysis and experiments, we developed a general guideline for choosing an efficient parallel irregular reduction method for given programs and input data sets.

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
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lin, Yuan
Contributors dc:contributor
  • Padua, David A.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI9971122
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/81980

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

Lin, Yuan. Compiler Analysis of Sparse and Irregular Computations. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81980