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• W2077960035 abstract "Previous research has used program transformation to introduce parallelism and to exploit data locality. Unfortunately, these two objectives have usually been considered independently. This work explores the trade-offs between effectively utilizing parallelism and memory hierarchy on shared-memory multiprocessors. We present a simple, but surprisingly accurate, memory model to determine cache line reuse from both multiple accesses to the same memory location and from consecutive memory access. The model is used in memory optimizing and loop parallelization algorithms that effectively exploit data locality and parallelism in concert. We demonstrate the efficacy of this approach with very encouraging experimental results." @default.
• W2077960035 created "2016-06-24" @default.
• W2077960035 creator A5084197997 @default.
• W2077960035 creator A5087054368 @default.
• W2077960035 date "2014-01-01" @default.
• W2077960035 modified "2023-10-17" @default.
• W2077960035 title "Optimizing for parallelism and data locality" @default.
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• W2077960035 doi "https://doi.org/10.1145/2591635.2667164" @default.
• W2077960035 hasPublicationYear "2014" @default.
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