Date Available
12-7-2011
Year of Publication
2008
Degree Name
Master of Science in Mechanical Engineering (MSME)
Document Type
Thesis
College
Engineering
Department
Mechanical Engineering
First Advisor
Dr. Raymond P. LeBeau
Abstract
This thesis focuses on optimizing the performance of an in-house, structured, 2D CFD code – GHOST, on commodity cluster architectures. The basic philosophy of the work is to optimize the cache usage of the code by implementing efficient coding techniques without changing the underlying numerical algorithm. Various optimization techniques that were implemented and the resulting changes in performance have been presented. Two techniques, external and internal blocking that were implemented earlier to tune the performance of this code have been reviewed. What follows is further tuning effort in order to circumvent the problems associated with using the blocking techniques. Later, to establish the universality of the optimization techniques, testing has been done on more complicated test case. All the techniques presented in this thesis have been tested on steady, laminar test cases. It has been proved that optimized versions of the code achieve better performances on variety of commodity cluster architectures chosen in this study.
Recommended Citation
Kristipati, Pavan K., "PERFORMANCE OPTIMIZATION OF A STRUCTURED CFD CODE - GHOST ON COMMODITY CLUSTER ARCHITECTURES" (2008). University of Kentucky Master's Theses. 567.
https://uknowledge.uky.edu/gradschool_theses/567
