Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
  1. Home
  2. Cornell Computing and Information Science
  3. Computer Science
  4. Computer Science Technical Reports
  5. Solving Alignment using Elementary Linear Algebra

Solving Alignment using Elementary Linear Algebra

File(s)
95-1478.pdf (263.26 KB)
95-1478.ps (220.06 KB)
Permanent Link(s)
https://hdl.handle.net/1813/7137
Collections
Computer Science Technical Reports
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
computer science
•
technical report
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR95-1478
Type
technical report

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance