NDLI: Loop induction variable canonicalization in parallelizing compilers

Content Provider	IEEE Xplore Digital Library
Author	Shin-Ming Liu Lo, R. Chow, F.
Copyright Year	1996
Description	Author affiliation: Silicon Graphics Comput. Syst., Mountain View, CA, USA (Shin-Ming Liu)
Abstract	Loop induction variable canonicalization transforms a loop to use a single primary induction variable that is incremented by one at the end of each iteration. In this process, other induction variables in the loop, called secondary induction variables, are removed from the loop, with their original references expressed in terms of the primary induction variable, and their loop exit values assigned to them after the loop exit. This paper presents a simple and powerful approach to loop induction variable canonicalization in which the problem is broken up into a sequence of steps. The whole canonicalization process is integrated into a global optimizer that builds an SSA representation of the program, performs global optimizations and hands the optimized code on to other components in the compiler that perform loop and instruction level parallelization. By taking advantage of optimizations that will be performed later each step in the canonicalization process can be made small and efficient. By letting generic parts of the optimizer share in the work, the approach infuses generality into the solution and provides automatic coverage of a wide variety of forms of induction variable occurrences. A number of examples are given to show the effectiveness of the approach. We also provide a set of measurements that shows that the additional compile-time cost incurred due to implementing our approach is small.
Starting Page	228
Ending Page	237
File Size	978943
Page Count	10
File Format	PDF
ISBN	0818676337
ISSN	1089795X
DOI	10.1109/PACT.1996.554033
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-10-20
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimizing compilers Testing Silicon Computer graphics Program processors Costs Pipeline processing Performance analysis Performance evaluation
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Hardware and Architecture Software

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