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University of Illinois at Urbana-Champaign
Compiler Analysis of Sparse and Irregular Computations
Abstract
dc:descriptionWe 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 × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI9971122
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81980