Performance Evaluation of Compiler-Assisted OpenMP Codes on Various HPC Systems
Kazuhiko Komatsu (),
Ryusuke Egawa (),
Hiroyuki Takizawa () and
Hiroaki Kobayashi ()
Additional contact information
Kazuhiko Komatsu: Tohoku University/JST CREST, Cyberscience Center
Ryusuke Egawa: Tohoku University/JST CREST, Cyberscience Center
Hiroyuki Takizawa: Tohoku University/JST CREST, Graduate School of Information Sciences
Hiroaki Kobayashi: Tohoku University, Cyberscience Center
A chapter in Sustained Simulation Performance 2015, 2015, pp 147-157 from Springer
Abstract:
Abstract As automatic parallelization functions are different among compilers, a serial code is often modified so that a particular target compiler can easily understand its code structure and data dependency, resulting in effective automatic optimizations. However, these code modifications might not be effective for a different compiler because the different compiler cannot always parallelize the modified code. In this paper, in order to achieve effective parallelization on various HPC systems, compiler messages obtained from various compilers on different HPC systems are utilized for the OpenMP parallelization. Because the message about one system may be useful to identify key loop nests even for other systems, performance portable OpenMP parallelization can be achieved. This paper evaluates the performance of the compiler-assisted OpenMP codes using compiler messages from various compilers. The evaluation results clarified that, when a code is modified for its target compiler, the compiler message given by the target compiler is the most helpful to achieve appropriate OpenMP parallelization.
Keywords: Loop Nest; Performance Portability; Automatic Optimization; Parallelization Method; Automatic Parallelization (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-20340-9_12
Ordering information: This item can be ordered from
http://www.springer.com/9783319203409
DOI: 10.1007/978-3-319-20340-9_12
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().