Minimal Impact One-Dimensional Arrays

Image Processing Using One-Dimensional Processor Arrays

Image processing (IP) is an ideal candidate for specialized architectures because of the sheer volume of data, the natural parallelism of IP algorithms, and the high demandfor IP solutions. The continually increasing circuit density of very large scale integration (VLSI) now makes it possible to integrate a complete parallel computer onto a single piece of silicon, significantly improving cost-...

Linear Algebra in One-Dimensional Systolic Arrays

Frequently used problems of linear algebra, such as the solution of linear systems, triangular decomposition and matrix multiplication, are computationally extensive. To increase the speed, those problems should be solved with systolic structures, where many processors are used concurrently to compute the result. Since two-dimensional array of processors is very consumptive, considering space a...

The synthesis of control signals for one-dimensional systolic arrays

Small-capacitance Josephson Junctions: One-dimensional Arrays and Single Junctions

Small-capacitance superconducting tunnel junctions provide an ideal system for studying the interplay between the Josephson phase and the charge on the junction electrode, which are quantum mechanically conjugate to each other. This interplay can be probed through the superconductor-insulator (SI) transition [1], which is a quantum phase transition occurring at T = 0. The SI transition has been...

One-dimensional optically bound arrays of microscopic particles.

A one-dimensional optically coupled array of colloidal particles is created in a potential well formed by two counterpropagating Gaussian light beams. This array has analogies to linear chains of trapped atomic ions. Breathing modes and oscillations of the center of mass are observed. The stability of the array is in accordance with the Kramers model.