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Abstract: Two hardware methods for remedying the effects of true data dependences are studied. The first method, dependence speculation, is used to eliminate address generation-load dependences. This is enabled by address prediction that permits load instructions to proceed speculatively without waiting for their address operands. The second technique, dependence collapsing, is used to eliminate data dependences by combining a dependence among multiple instructions into one instruction. The potential of... (Update)
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BibTeX entry: (Update)
Y. Sazeides, S. Vassiliadis and J. E. Smith. The Performance Potential of Data Dependence Speculation & Collapsing. in Proceeding of the 29 th Annual ACM/IEEE International Symposium on Microarchitecture, pp. 238-247, Dec., 1996. http://citeseer.ist.psu.edu/article/sazeides96performance.html More
@inproceedings { sazeides96performance,
author = "Yiannakis Sazeides and Stamatis Vassiliadis and James E. Smith",
title = "The Performance Potential of Data Dependence Speculation Collapsing",
booktitle = "International Symposium on Microarchitecture",
pages = "238--247",
year = "1996",
url = "citeseer.ist.psu.edu/article/sazeides96performance.html",
url = "citeseer.nj.nec.com/sazeidis96performance.html" }
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