51 search results - page 1 / 11 » Annotation-based empirical performance tuning using Orio |
IPPS
2009
IEEE
13 years 11 months ago
2009
IEEE
In many scientific applications, significant time is spent tuning codes for a particular highperformance architecture. Tuning approaches range from the relatively nonintrusive (...
ICCS
2009
Springer
13 years 11 months ago
2009
Springer
The development of optimized codes is time-consuming and requires extensive architecture, compiler, and language expertise, therefore, computational scientists are often forced to ...
IPPS
2007
IEEE
13 years 10 months ago
2007
IEEE
The excessive complexity of both machine architectures and applications have made it difficult for compilers to statically model and predict application behavior. This observatio...
ICCS
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. Performance understanding and prediction are extremely important goals for guiding the application of program optimizations or in helping programmers focus their efforts...
CP
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...