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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao International Journa...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
International Journal of Parallel Programming
Article . 1995 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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A hierarchical approach to instruction-level parallelization

Authors: Alexandru Nicolau; Steven Novack;

A hierarchical approach to instruction-level parallelization

Abstract

In this paper we extend Percolation Scheduling (PS) to navigate through a hierarchical version of the Control Flow Graph (CFG) representation of a VLIW program. This extension retains the completeness of PS by allowing the “normal” PS transformations to be applied incrementally between adjacent instructions but also enablesnonincremental code motions across arbitrarily large single-entry/single-exit regions of code in constant time. Such nonincremental transformations eliminate the useless code explosions that would otherwise be caused by using incremental transformations to move operations through regions containing multiple control paths and, in conjunction with the hierarchical representation of the CFG, provide a framework for trading offuseful code explosions for increases in parallelism. Simulation results comparing nonincremental with incremental PS are presented.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
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