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USENIX Technical Program - Abstract - Domain-Specific Languages 99
An Annotation Language for Optimizing Software Libraries
Samuel Z. Guyer and Calvin Lin, The University of Texas at Austin
Abstract
his paper introduces an annotation language and a compiler that together can
customize a library implementation for specific application needs. Our
approach is distinguished by its ability to exploit high level,
domain-specific information in the customization process. In particular, the
annotations provide semantic information that enables our compiler to analyze
and optimize library operations as if they were primitives of a
domain-specific language. Thus, our approach yields many of the performance
benefits of domain-specific languages, without the effort of developing a new
compiler for each domain.
This paper presents the annotation language, describes its role in
optimization, and illustrates the benefits of the overall approach. Using a
partially implemented compiler, we show how our system can significantly
improve the performance of two applications written using the PLAPACK
parallel linear algebra library.
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