Parallel Processing on VLSI Arrays: A Special Issue of by Josef A. Nossek (auth.), Josef A. Nossek (eds.)

By Josef A. Nossek (auth.), Josef A. Nossek (eds.)

Guest Editor: JOSEF A. NOSSEK it is a specified factor of the magazine of VLSI sign Processing comprising 8 contributions invited for publica­ tion at the foundation of novel paintings offered in a different consultation on "Parallel Processing on VLSI Arrays" on the foreign Symposium on Circuits and structures (ISCAS) held in New Orleans in may well 1990. sizeable parallelism to deal with high-speed specifications stemming from real-time functions and the limitations in architectural and circuit layout, comparable to regularity and native connectedness, caused via the VLSI know-how are the main questions addressed in those 8 papers. they are often grouped into 3 subsections elaborating on: • Simulation of constant actual structures, i. e. , numerically fixing partial differential equations. • Neural architectures for picture processing and development acceptance. • Systolic architectures for enforcing average and abnormal algorithms in VLSI expertise. The paper by means of A. Fettweis and O. Nitsche advocates a sign processing technique for the numerical integration of partial differential equations (PD Es). it really is in response to the rules of multidimensional wave electronic filters (MDWDFs) thereby conserving the passivity of strength dissipating actual structures. it really is relatively fitted to platforms ofPDEs related to time and finite propagation velocity. the fundamental principles are defined utilizing Maxwell's equa­ tions as a automobile for the derivation of a multidimensional similar circuit representing the spatially infinitely prolonged association with basically only a few circuit elements.

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34. 1M. O. Chua, "A CNN chip for connected component detection," IEEE Trans. on Circuits and Systems. vol. 38, 1991. M. D. degree from the University of Illinois, Urbana, in 1964. He was also awarded a Doctor Honoris Causa from the Ecole Polytechnique Federale-Lausanne, Switzerland, in 1983 and an Honorary Doctorate from the University of Tokushima, Japan, in 1984. He is presently a professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. 51 Professor Chua's research interests are in the areas of general nonlinear network and system theory, neural networks, and nonlinear dynamics.

The deterministic approaches rely on the fact that the minimization problem can be recast into one in which the line process variables have been eliminated. The latter will be studied here since they appear to lead to practical VLSI implementations. 1. Discontinuous Resistive Fuse Elements The line process variables can be removed from (1) by straightforward algebraic manipulations. In fact, Blake and Zisserman [7] demonstrated that the original cost function J u(y, I) containing real and boolean variables is intimately related to the following cost function containing only real variables: (5) with appropriate modifications at the boundaries i = 1 and i = N.

I) the templates of feedback operator A. 1. 1. Local Connectivity. The CNN arrays we have discussed here are have cells which are locally connected and are very efficient for VLSI layout. ] The regular array of cells also makes the routing and layout problem much easier than with traditional analog circuits. In fuct, from examining the photomicrograph of the fubricated noiseremoval circuit in figure 23 one might be led to believe it was a VLSI digital memory. In fuct, many of the same routing and layout tools used for digital circuit design were used in the design of the noise removal CNN chip.

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