The Specification of Source-to-source Transformations for the Compile-time Optimization of Parallel Object-oriented Scientific Applications
The performance of object-oriented applications in scientific computing often suffers from the inefficient use of high-level abstractions provided by underlying libraries. Since these library abstractions are not part of the programming language itself there is no compiler mechanism to respect their semantics and thus to perform appropriate optimizations, e.g., array semantics within object-oriented array class libraries which permit parallel optimizations inconceivable to the serial compiler. We have presented the ROSE infrastructure as a tool for automatically generating library-specific preprocessors. These preprocessors can perform sematics-based source-to-source transformations of the application in order to introduce high-level code optimizations. In this paper we outline the design of ROSE and focus on the discussion of various approaches for specifying and processing complex source code transformations. These techniques are supposed to be as easy and intuitive as possible for the ROSE users, i.e. for the designers of the library-specific preprocessors.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- US Department of Energy (US)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 15006272
- Report Number(s):
- UCRL-JC-144097; TRN: US200407%%169
- Resource Relation:
- Journal Volume: 2624; Conference: 14th Annual Languages and Compilers for Parallel Computing, Cumberland Falls, KY (US), 08/01/2001--08/03/2001; Other Information: PBD: 5 Jun 2001
- Country of Publication:
- United States
- Language:
- English
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