Statistical compiler tuning

Leiden Repository

Statistical compiler tuning

Type: Doctoral Thesis
Title: Statistical compiler tuning
Author: Haneda, Masayo
Publisher: LIACS, Faculty of Mathematics and Natural Sciences, Leiden University
Issue Date: 2006-09-26
Keywords: Application tuning
Compiler optimization
Abstract: Modern compilers implement a number of optimization switches and they must be configured carefully in order to obtain the best performance. However, there exist few strategies to configure these compiler switches or flags. This is caused by the fact that the performance of a code is both dependent on the target architecture and the application. Additionally, the effect of the compiler optimizations is highly dependent on other compiler optimizations which are employed, causing the actual effect to be masked and not predictable. In this thesis, we propose to use statistical analysis to determine the effectiveness of the compiler optimizations. This enables us to construct systematic methodologies for determining settings of compiler optimizations automatically. The proposed methodologies are all independent from the implementation of compilers and implementation of applications, therefore, it is easy to apply our methodologies to any combination of compilers and applications. This versatility makes our results unique compared to other approaches. Additionally, with our methodologies, users can choose their optimization objective, for example, execution time or code size, etc. From the results shown in this thesis, we can concluded that the statistical tuning of compiler optimization is both possible and useful.
Description: Promotor: H.A.G. Wijshoff, Co-promotor: P.M.W. Knijnenburg
With summary in Dutch
Faculty: Faculteit der Wiskunde en Natuurwetenschappen
Citation: Haneda, M., 2006, Doctoral thesis, leiden University
Series/Report no.: ASCI dissertation series ; Nr. 129
ISBN: 909020847X

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