Generation of Efficient Nested Loops from Polyhedra.

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Bibliographic Details
Title: Generation of Efficient Nested Loops from Polyhedra.
Authors: Quilleré, Fabien1, Rajopadhye, Sanjay1, Wilde, Doran2
Source: International Journal of Parallel Programming. Oct2000, Vol. 28 Issue 5, p469-498. 30p.
Subjects: Polyhedra models, Geometric modeling, Code generators, Coding theory, Program generators (Computer programs), Parallel programming, Computer programming, Algorithms
Abstract: Automatic parallelization in the polyhedral model is based on affine transformations from an original computation domain (iteration space) to a target space-time domain, often with a different transformation for each variable. Code generation is an often ignored step in this process that has a significant impact on the quality of the final code. It involves making a trade-off between code size and control code simplification/optimization. Previous methods of doing code generation are based on loop splitting, however they have nonoptimal behavior when working on parameterized programs. We present a general parameterized method for code generation based on dual representation of polyhedra. Our algorithm uses a simple recursion on the dimensions of the domains, and enables fine control over the tradeoff between code size and control overhead. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Automatic parallelization in the polyhedral model is based on affine transformations from an original computation domain (iteration space) to a target space-time domain, often with a different transformation for each variable. Code generation is an often ignored step in this process that has a significant impact on the quality of the final code. It involves making a trade-off between code size and control code simplification/optimization. Previous methods of doing code generation are based on loop splitting, however they have nonoptimal behavior when working on parameterized programs. We present a general parameterized method for code generation based on dual representation of polyhedra. Our algorithm uses a simple recursion on the dimensions of the domains, and enables fine control over the tradeoff between code size and control overhead. [ABSTRACT FROM AUTHOR]
ISSN:08857458
DOI:10.1023/a:1007554627716