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University of Illinois at Urbana-Champaign
Macroscopic Data Structure Analysis and Optimization
Abstract
dc:descriptionThis thesis describes the approach, analysis, and transformation of programs with macroscopic techniques, and evaluates the net performance impact of the transformations. Finally, it describes a large class of potential applications for the work in fields such as heap safety and reliability, program understanding, distributed computing, and static garbage collection.
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
-
- Lattner, Christopher Arthur
- Contributors dc:contributor
-
- Vikram Adve
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3182303
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81663