Communications of the ACM - Special section on computer architecture
Pyramid computer solutions of the closest pair problem
Journal of Algorithms
Data movement techniques for the pyramid computer
SIAM Journal on Computing
Proceedings of the Second Conference on Hypercube Multiprocessors on Hypercube multiprocessors
Proceedings of the Second Conference on Hypercube Multiprocessors on Hypercube multiprocessors
Pyramidal systems for computer vision
Pyramidal systems for computer vision
Parallel, hierarchical software/hardware pyramid architectures
Pyramidal systems for computer vision
General purpose pyramidal architectures
Pyramidal systems for computer vision
A pyramidal system for image processing
Pyramidal systems for computer vision
Pyramidal systems for computer vision
Some pyramid techniques for image segmentation
Pyramidal systems for computer vision
Parallel computer vision
Parallel computer vision
Parallel computer vision
A prototype pyramid machine for hierarchical cellular logic
Parallel computer vision
Pyramid algorithms optimal for the worst case
Parallel computer vision
Efficient Parallel Convex Hull Algorithms
IEEE Transactions on Computers
Meshes with reconfigurable buses
Proceedings of the fifth MIT conference on Advanced research in VLSI
Parallel algorithms for regular architectures: meshes and pyramids
Parallel algorithms for regular architectures: meshes and pyramids
Sorting on a mesh-connected parallel computer
Communications of the ACM
Structured Computer Vision; Machine Perception through Hierarchical Computation Structures
Structured Computer Vision; Machine Perception through Hierarchical Computation Structures
The Image Understanding Architecture
The Image Understanding Architecture
Computational Aspects of VLSI
Embedding Classical Communication Topologies in the Scalable OPAM Architecture
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
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Pyramid computers, and more generally pyramid algorithms, for image processing have the advantage of providing regular structure with a base naturally identified with an input image and a logarithmic height that permits rapid reduction of information. It is shown that it is possible to simulate systematically the effect of having a separate, so-called 'essential' pyramid over each object, greatly simplifying algorithm development since algorithms can be written assuming that there is only a single object. This approach can yield optimal or nearly optimal algorithms for the pyramid computer and can also be used on nonpyramid architectures such as the hypercube, mesh-of-trees, mesh, mesh with row and column buses, mesh with reconfigurable buses, and PRAM (parallel random-access machine). For several of these architectures, the simulated essential pyramids can simultaneously execute an algorithm nearly as fast as a pyramid computer over a single object.