Theses and Dissertations

ORCID

https://orcid.org/0009-0001-0836-8534

Advisor

Torri, Stephen A.

Committee Member

Bethel, Cindy L.

Committee Member

Bhowmik, Tanmay

Date of Degree

12-12-2025

Original embargo terms

Immediate Worldwide Access

Document Type

Graduate Thesis - Open Access

Major

Computer Science (Artificial Intelligence and Robotics)

Degree Name

Master of Science (M.S.)

College

James Worth Bagley College of Engineering

Department

Department of Computer Science and Engineering

Abstract

An often-overlooked research gap is the applicability of research over time. The impact of updating the GNU Compiler Collection version was investigated for the SRTuner compiler optimization research. Versions 7 through 14 were tested using documented flags and recommended flag dependencies. Quality controls measured and enforced consistency across test runs and benchmarks. The performance of SRTuner was compared to a random control while the impact of enforcing flag dependencies was evaluated. The most influential flags were investigated by turning them off in isolation, but results were mixed. It was determined that enforcing flag dependencies resulted in improved performance, but the SRTuner algorithm could not outperform a random control, indicating that more attention was needed. Three of the tested benchmarks failed to compile for less than 0.5% of flag selections, and one benchmark was completely unsupported by the most recent compiler version.

Download

Share

COinS