Sciweavers

Share
PLDI
2015
ACM

Performance search engine driven by prior knowledge of optimization

4 years 12 months ago
Performance search engine driven by prior knowledge of optimization
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 paper 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 ex...
Youngsung Kim, Pavol Cerný, John Dennis
Added 16 Apr 2016
Updated 16 Apr 2016
Type Journal
Year 2015
Where PLDI
Authors Youngsung Kim, Pavol Cerný, John Dennis
Comments (0)
books