By Topic

Using warp as a supercomputer in signal processing

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

4 Author(s)
Annaratone, Marco ; Carnegie-Mellon University, Pittsburgh, Pennsylvania, U.S.A. ; Arnould, Emmanuel ; Kung, H.T. ; Menzilcioglu, O.

Warp is a programmable systolic array machine designed by CMU and built together with its industrial partners-GE and Honeywell. The first large scale version of the machine with an array of 10 linearly connected cells will become operational in January 1986. Each cell in the array is capable of performing 10 million 32-bit floating-point operations per second (10 MFLOPS). The 10-cell array can achieve a performance of 50 to 100 MFLOPS for a large variety of signal processing operations such as digital filtering, image compression, and spectral decomposition. The machine, augmented by a Boundary Processor, is particularly effective for computationally expensive matrix algorithms such as solution of linear systems, QR-decomposition and singular value decomposition, that are crucial to many real-time signal processing tasks. This paper outlines the Warp implementation of the 2- dimensional Discrete Cosine Transform and singular value decomposition.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.  (Volume:11 )

Date of Conference:

Apr 1986