Russ Miller

Dept. of Computer Science, State University of New York at Buffalo

Quentin F. Stout

Computer Science and Engineering, University of Michigan

**Abstract:**
The pyramid computer was initially proposed for performing high-speed
low-level image processing. However, its regular geometry can be adapted
quite naturally to many other problems, providing effective solutions to
problems more complex than those previously considered. We illustrate
this by presenting pyramid computer solutions to problems involving
component labeling, minimal spanning forests, nearest neighbors,
transitive closure, articulation points, bridge edges, etc. Central to
these algorithms is our collection of data movement techniques which
exploit the pyramid's mix of tree and mesh connections. Our pyramid
algorithms are significantly faster than their mesh-connected computer
counterparts. For example, given a black/white square picture with
*n* pixels, the pyramid can label the connected components in
*Θ(n ^{1/4})* time, as compared with the

**Keywords:**
parallel computer,
pyramid computer, graph algorithms, computational geometry,
image processing, component
labeling, mesh computer, data movement operations, parallel algorithms,
computer science

**Complete paper.**
This paper appears in *SIAM J. on Computing* 16 (1987), pp. 38-60.

- Most of the contents of this paper have been incorporated into the book R Miller and QF Stout, Parallel Algorithms for Regular Architectures: Meshes and Pyramids, MIT Press, 1996
- Other papers in parallel computing
- Overview of my work in parallel computing
- A modest explanation of parallel computing

Copyright © 2005-2018 Quentin F. Stout |