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Post Pass Binary Adaptation for Software based Speculative Precomputation Steve S. Liao Perry H. Wang Hong Wang Gerolf Hoflehner Daniel lavery John P. Shen
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SMT Vs Superscalar
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Speculative Precomputation Reduces cache misses Spawns a thread for precomputing address of load Does not modify architectural state So need not be correct! Basically another prefetcher!
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Post Pass Tool Identify delinquent loads –Small number of loads => majority of cache misses Slicing Scheduling Trigger identification SSP enabled binary generation
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Slicing Region based –Loop, Loop body or a procedure –Graph with regions as nodes –Edges connect parents and child regions Speculative slicing –To reduce the slice length –Memory disambiguation –Data speculation –Removing unexecuted paths and unrealised calls
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Scheduling For Chain SP –Graph partioning Forward dependencies Level sort –Schedule the resulting acyclic graph –Include synchronisation –Dependence reduction Loop rotation –Reduce loop carried dependency Branch Prediction
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Trigger Identification Why can’t you move far ahead? –Copying overhead Vs Slack SSP enabled binary genration Choose Precomputation model –Chain or Basic?
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Results
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