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ICPP
1996
IEEE

Restructuring Programs for High-Speed Computers with Polaris

10 years 3 months ago
Restructuring Programs for High-Speed Computers with Polaris
The ability to automatically parallelize standard programming languages results in program portability across a wide range of machine architectures. It is the goal of the Polaris project to develop a new parallelizing compiler that overcomes limitations of current compilers. While current parallelizing compilers may succeed on small kernels, they often fail to extract any meaningful parallelism from whole applications. After a study of application codes, it was concluded that by adding a few new techniques to current compilers, automatic parallelization becomes feasible for a range of whole applications. The techniques needed are interprocedural analysis, scalar and array privatization, symbolic dependence analysis, and advanced induction and reduction recognition and elimination, along with run-time techniques to permit the parallelization of loops with unknown dependence relations.
William Blume, Rudolf Eigenmann, Keith Faigin, Joh
Added 07 Aug 2010
Updated 07 Aug 2010
Type Conference
Year 1996
Where ICPP
Authors William Blume, Rudolf Eigenmann, Keith Faigin, John Grout, Jaejin Lee, Thomas Lawrence, Jay Hoeflinger, David A. Padua, Yunheung Paek, Paul Petersen, William M. Pottenger, Lawrence Rauchwerger, Peng Tu, Stephen Weatherford
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