Title :
A language for conveying the aliasing properties of dynamic, pointer-based data structures
Author :
Hummel, Joseph ; Hendren, Laurie J. ; Nicolau, Alexandru
Author_Institution :
Dept. of Comput. Sci., California Univ., Irvine, CA, USA
Abstract :
High-performance architectures rely upon powerful optimizing and parallelizing compilers to maximize performance. Such compilers need accurate program analysis to enable their performance-enhancing transformations. In the domain of program analysis for parallelization, pointer analysis is a difficult and increasingly common problem. When faced with dynamic, pointer-based data structures, existing solutions are either too limited in the types of data structures they can analyze, or require too much effort on the part of the programmer. In this paper we present a powerful description language for expressing the aliasing properties of dynamic date structures. Such descriptions provide the compiler with better information during alias analysis, and require only minimal effort from the programmer. Ultimately, this enables a more accurate program analysis, and an increased application of performance-enhancing transformations
Keywords :
data structures; parallel programming; program compilers; system monitoring; aliasing properties; description language; dynamic date structures; high-performance architectures; optimizing compilers; parallelizing compilers; performance-enhancing transformations; pointer analysis; pointer-based data structures; program analysis; Circuits; Computer science; Data structures; Information analysis; Optimizing compilers; Parallel processing; Performance analysis; Program processors; Programming profession; Sparse matrices;
Conference_Titel :
Parallel Processing Symposium, 1994. Proceedings., Eighth International
Conference_Location :
Cancun
Print_ISBN :
0-8186-5602-6
DOI :
10.1109/IPPS.1994.288299