NDLI: Data Flow Analysis for Software Prefetching Linked Data Structures in Java

Content Provider	ACM Digital Library
Author	McKinley, Kathryn S. Cahoon, Brendon
Abstract	Abstract: In this paper, we describe an effective compile-time analysis for software prefetching in Java. Previous work in software data prefetching for pointer-based codes uses simple compiler algorithms and does not investigate prefetching for object-oriented language features that make compile-time analysis difficult. We develop a new data flow analysis to detect regular accesses to linked data structures in Java programs. We use intra and interprocedural analysis to identify profitable prefetching opportunities for greedy and jump-pointer prefetching, and we implement these techniques in a compiler for Java. Our results show that both prefetching techniques improve four of our ten programs. The largest performance improvement is 48% with jump-pointers, but consistent improvements are difficult to obtain.
Starting Page	280
Ending Page	291
Page Count	12
ISBN	0769513638
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2001-09-08
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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Data Flow Analysis for Software Prefetching Linked Data Structures in Java