Solving Alignment using Elementary Linear Algebra
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Author
Bau, David
Kodukula, Induprakas
Kotlyar, Vladimir
Pingali, Keshav
Stodghill, Paul
Abstract
Data and computation alignment is an important part of compiling sequential programs to architectures with non-uniform memory access times. In this paper, we show that elementary matrix methods can be used to determine communication-free alignment of code and data. We also solve the problem of replicating read-only data to eliminate communication. Our matrix-based approach leads to algorithms which are simpler and faster than existing algorithms for the alignment problem.
Date Issued
1995-01
Publisher
Cornell University
Keywords
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR95-1478
Type
technical report