Cart (Loading....) | Create Account
Close category search window
 

A quantitative code analysis of scientific systolic programs: DSP vs. matrix algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Sernec, R. ; BIA d.o.o., Ljubljana, Slovenia ; Zajc, M. ; Tasic, J.F.

In this paper we consider systolic programs of the most common DSP (convolution, FIR, IIR, FFT) and Matrix (multiplication, triangularisation, linear equation solving, modified Faddeev algorithm) algorithms, executed on systolic arrays of various topologies (linear, 2D mesh, hexagonal). We examine the algorithm-specific parameters (number of I/O paths, unit delays) and program-dependent parameters (program length, data location requirements, basic black lengths, branch behaviour, instruction usage, computation to communication ratio) of our program set, executed on a single processing-cell of systolic arrays. The analysis is based on the static object code. We found that basic block lengths are 17.1 (DSP) and 8.4 (Matrix) instructions long. The Divide/Square Root operations play a major role in Matrix algorithms (more than 15% of the weighted instruction set). Inter-cell communication must be efficient, since the computation to communication ratio is only 1.2-1.4 and is orders of magnitude smaller than in typical MIMD applications

Published in:

Parallel Processing Symposium, 1998. IPPS/SPDP 1998. Proceedings of the First Merged International ... and Symposium on Parallel and Distributed Processing 1998

Date of Conference:

30 Mar-3 Apr 1998

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.