Automatic Parallelization Using OpenMP Based on STL Semantics [electronic resource]
Automatic parallelization of sequential applications using OpenMP as a target has been attracting significant attention recently because of the popularity of multicore processors and the simplicity of using OpenMP to express parallelism for shared-memory systems. However, most previous research has...
Saved in:
Online Access: |
Online Access |
---|---|
Corporate Author: | |
Format: | Government Document Electronic eBook |
Language: | English |
Published: |
Washington, D.C : Oak Ridge, Tenn. :
United States. Dept. of Energy ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy,
2008.
|
Subjects: |
Summary: | Automatic parallelization of sequential applications using OpenMP as a target has been attracting significant attention recently because of the popularity of multicore processors and the simplicity of using OpenMP to express parallelism for shared-memory systems. However, most previous research has only focused on C and Fortran applications operating on primitive data types. C++ applications using high level abstractions such as STL containers are largely ignored due to the lack of research compilers that are readily able to recognize high level object-oriented abstractions of STL. In this paper, we use ROSE, a multiple-language source-to-source compiler infrastructure, to build a parallelizer that can recognize such high level semantics and parallelize C++ applications using certain STL containers. The idea of our work is to automatically insert OpenMP constructs using extended conventional dependence analysis and the known domain-specific semantics of high-level abstractions with optional assistance from source code annotations. In addition, the parallelizer is followed by an OpenMP translator to translate the generated OpenMP programs into multi-threaded code targeted to a popular OpenMP runtime library. Our work extends the applicability of automatic parallelization and provides another way to take advantage of multicore processors. |
---|---|
Item Description: | Published through the Information Bridge: DOE Scientific and Technical Information. 06/03/2008. "llnl-conf-404412" Presented at: Languages and Compilers for Parallel Computing (LCPC), Edmonton, Canada, Jul 31 - Aug 02, 2008. Panas, T; Quinlan, D J; Liao, C; Willcock, J J. |
Physical Description: | PDF-file: 17 pages; size: 0.2 Mbytes. |