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Data Flow Analysis for Software Prefetching Linked Data Structures in Java

PublisherUniversity of Massachusetts
Format167.7KB PDFDate added01 Jan 2008
Topics Java, Object-Oriented, Programming Languages
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This paper describes 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. A new data flow analysis is developed to detect regular accesses to linked data structures in Java programs. They use intra and interprocedural analysis to identify profitable prefetching opportunities for greedy and jump-pointer prefetching, and implement these techniques in a compiler for Java. The results show that both prefetching techniques improve four of the ten programs. The largest performance improvement is 48% with jump-pointers, but consistent improvements are difficult to obtain.

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