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Abstract: We introduce dependence-based pre-computation as a complement to history-based target prediction schemes. We present pre-computation in the context of virtual function calls (v-calls), a class of control transfers that is becoming increasingly important and has resisted conventional prediction. Our proposed technique dynamically identifies the sequence of operations that computes a v-call's target. When the first instruction in such a sequence is encountered, a small execution engine... (Update)
Context of citations to this paper: More
.... a dataflow engine as a complement to conventional pathbased predictors in order to improve the predictability of virtual function calls [25]. Their solution detects the instruction sequence implementing a virtual function call 3 , records the corresponding dependencies and...
.... a dataflow engine, to complement conventional path based predictors, in order to improve the predictability of virtual function calls [134]. Their solution detects the dispatch code sequence implementing a virtual function call. The engine records the corresponding...
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BibTeX entry: (Update)
A. Roth, A. Moshovos, and G. Sohi. Improving Virtual Function Call Target Prediction via Dependence-Based Pre-Computation. In Proc. 1999 International Conference on Supercomputing, pages 356--364, Jun. 1999. http://citeseer.ist.psu.edu/roth99improving.html More
@inproceedings{ roth99improving,
author = "Amir Roth and Andreas Moshovos and Gurindar S. Sohi",
title = "Improving virtual function call target prediction via dependence-based pre-computation",
booktitle = "International Conference on Supercomputing",
pages = "356-364",
year = "1999",
url = "citeseer.ist.psu.edu/roth99improving.html" }
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