Skip to main content


eCommons@Cornell

eCommons@Cornell >
College of Engineering >
Computer Science >
Computer Science Technical Reports >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/6549
Title: Loop Quantization: Unwinding for Fine-Grain Parallelism Exploitation
Authors: Nicolau, Alexandru
Keywords: computer science
technical report
Issue Date: Oct-1985
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR85-709
Abstract: Loop unwinding is a well known technique for reducing loop overhead, exposing parallelism and increasing the efficiency of pipelining. Traditional loop unwinding is limited to the innermost loop in a group of nested loops and the amount of unwinding is either fixed or has to be specified by the user, on a case by case basis. In this paper we present a general technique for automatically unwinding multply nested loops, explain its advantages over other transformation techniques and illustrates its practical effectiveness.
URI: http://hdl.handle.net/1813/6549
Appears in Collections:Computer Science Technical Reports

Files in This Item:

File Description SizeFormat
85-709.pdf1.46 MBAdobe PDFView/Open
85-709.ps405.81 kBPostscriptView/Open

Refworks Export

Items in eCommons are protected by copyright, with all rights reserved, unless otherwise indicated.

 

© 2014 Cornell University Library Contact Us