Sat 13 Jun 2015 14:00 - 14:30 at C122 - Paper Session 3 Chair(s): Hidehiko Masuhara

For scientific array-based programs, optimization for a particular target platform is a hard problem. There are many optimization techniques such as (semantics-preserving) source code transformations, compiler directives, environment variables, and compiler flags that influence performance. Moreover, the performance impact of (combinations of) these factors is unpredictable. This pa- per focuses on providing a platform for automatically searching through search space consisting of such optimization techniques. We provide (i) a search-space description language, which enables the user to describe optimization options to be used; (ii) search engine that enables testing the performance impact of optimization options by executing optimized programs and checking their results; and (iii) an interface for implementing various search algorithms. We evaluate our platform by using two simple search algorithms - a random search and a casetree search that heuristically learns from the already examined parts of the search space. We show that such algorithms are easily implementable in our plat- form, and we empirically find that the framework can be used to find useful optimized algorithms.

Sat 13 Jun
Times are displayed in time zone: (GMT-07:00) Tijuana, Baja California change

14:00 - 15:30: ARRAY - Paper Session 3 at C122
Chair(s): Hidehiko MasuharaTokyo Institute of Technology
ARRAY-2015-papers14:00 - 14:30
Youngsung Kim, Pavol CernyUniversity of Colorado Boulder
ARRAY-2015-papers14:30 - 15:00
ARRAY-2015-papers15:00 - 15:30