2002Unpublished venueRequires access

Execution-based prediction using speculative slices

Craig Zilles, Gurindar S. Sohi

Open publisher page 104 citations

Abstract

A relatively small set of static instructions has significant leverage on program execution performance. These problem instructions contribute a disproportionate number of cache misses and branch mispredictions because their behavior cannot be accurately anticipated using existing prefetching or branch prediction mechanisms.

About this research paper

What this paper is about

A relatively small set of static instructions has significant leverage on program execution performance. These problem instructions contribute a disproportionate number of cache misses and branch mispredictions because their behavior cannot be accurately anticipated using existing prefetching or branch prediction mechanisms.

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OpenAlex reports 104 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A relatively small set of static instructions has significant leverage on program execution performance. These problem instructions contribute a disproportionate number of cache misses and branch mispredictions because their behavior cannot be accurately anticipated using existing prefetching or branch prediction mechanisms.

Key concepts: Computer science, Leverage (statistics), Branch predictor, Speculative execution, Parallel computing, Speculative multithreading, Cache, Execution time

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