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Thursday, March 6 • 1:20pm - 1:40pm
Programming Models, Libraries and Tools: Compiler Independent Strategy for Data Locality Optimization, Jinxin Yang, University of Houston

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Data locality is an important optimization for loop oriented kernels. Auto tuning techniques are used to fi nd 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.

Moderators
avatar for Amik St-Cyr

Amik St-Cyr

Senior researcher, Shell
Amik St-Cyr recently joined the Royal Dutch Shell company as a senior researcher in computation & modeling. Amik came to the industry from the NSF funded National Center for Atmospheric Research (NCAR). His work consisted in the discovery of novel numerical methods for geophysical fluid flows with particular attention to their implementation on supercomputers. He has experience in a plethora of numerical methods for solving time-dependent... Read More →

Speakers
JY

Jinxin Yang

HPCTools Group, University of Houston


Thursday March 6, 2014 1:20pm - 1:40pm
BRC 280 Rice University 6500 Main Street at University, Houston, TX 77030

Attendees (5)