2014 Rice Oil & Gas HPC has ended
Back To Schedule
Thursday, March 6 • 1:20pm - 1:40pm
Programming Models, Libraries and Tools: Compiler Independent Strategy for Data Locality Optimization, Jinxin Yang, University of Houston

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!



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.

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... Read More →


Jinxin Yang

HPCTools Group, University of Houston

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

Attendees (0)