SC13 Home > SC13 Schedule > SC13 Presentation - Compiler Independent Strategy for Data Locality Optimization

SCHEDULE: NOV 16-22, 2013

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Compiler Independent Strategy for Data Locality Optimization

SESSION: Research Poster Reception

EVENT TYPE: Posters, Electronic Posters, and Education Posters

TIME: 5:15PM - 7:00PM

AUTHOR(S):Jinxin Yang, Abid Malik, Barbara Chapman

ROOM:Mile High Pre-Function

Data locality is an important optimization for loop oriented kernels. Auto tuning techniques are used to find the best strategy for data locality optimization. However, auto tuning techniques are expensive and not independent of computing frameworks. Porting an application from one framework to another requires the whole auto tuning process to be repeated, in order to get an optimal solution for the new one. A global strategy will help in expediting the porting process for an application. In this work, we present a framework, consisting of OpenUH transformation directives and CHiLL framework, which provides an optimal strategy for the data locality problem which is independent of compilers. Our results show that the strategies given by our framework clearly out class the default optimization levels of OpenUH, GCC, Intel and PGI compilers.

Chair/Author Details:

Jinxin Yang - University of Houston

Abid Malik - University of Houston

Barbara Chapman - University of Houston

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