A novel Josephson cellular array

1995 ◽  
Vol 5 (2) ◽  
pp. 3329-3332
Author(s):  
M. Morisue ◽  
Fu-Qiang Li
Keyword(s):  
Cellular Array

Microfluidics Cell Loading-Dock System: Ordered Cellular Array for Dynamic Lymphocyte-Communication Study

2017 ◽  
Vol 1 (10) ◽  
pp. 1700085 ◽  
Author(s):  
Ying Li ◽  
Joon Hee Jang ◽  
Crystal Wang ◽  
Bangshun He ◽  
Kai Zhang ◽  
...  
Keyword(s):  
Cell Loading ◽  
Cellular Array ◽  
Communication Study

Design of a Bio-Inspired Embryonic Cellular Array Based on Bus Structure

2019 ◽  
Vol 29 (06) ◽  
pp. 2050099
Author(s):  
Tao Wang ◽  
Jinyan Cai ◽  
Yafeng Meng ◽  
Meng Lv ◽  
Zexi Li
Keyword(s):  
Large Scale ◽  
Evaluation Model ◽  
Functional Differentiation ◽  
Digital Circuit ◽  
Resource Consumption ◽  
Internal Communication ◽  
Oxide Semiconductor ◽  
Cellular Array ◽  
Hardware Resource ◽  
Bus Structure

There are some shortcomings, such as huge hardware resource consumption, functional differentiation is difficult and limited fault detection coverage, when embryonic cellular array (ECA) is used to design large-scale circuit. In this paper, the structure characteristics and communication method of multicellular organism are analyzed briefly, and a new bio-inspired ECA based on bus structure (BECA) is proposed, besides that the corresponding self-repairing strategy is designed. First, the functional decomposition has been applied in BECA, which uses bus structure to realize internal communication. BECA consists of bus and electronic tissues (ET), which can be used to realize large-scale circuit. C17 circuit in ISCAS85 circuit library is chosen as experiment subject, and experiment simulation results indicate that BECA based on bus structure is suitable for large-scale circuit, and the faults occurred in ET can be repaired effectively. In order to research BECA from the mathematical point of view, the reliability evaluation model of BECA is established, which is based on [Formula: see text]-out-of-[Formula: see text] system reliability model. In addition, the hardware resource consumption model of BECA is established by analyzing the number of metal oxide semiconductor (MOS) transistors that ECA consumed. Based on BECA reliability and hardware resource consumption evaluation model, comparative experiment is studied, and the results indicate that the proposed ECA can improve the reliability of circuit and reduce hardware resource consumption effectively. Therefore, the BECA presented will play an important role in designing large-scale digital circuit with self-repairing ability.

A large scale cellular array processor

1985 ◽  
Author(s):  
Toshio Kondo ◽  
Tayoshi Nakashima ◽  
Toshio Tsuchiya ◽  
Yoshi Sugiyama ◽  
Tsuneta Sudo
Keyword(s):  
Large Scale ◽  
Array Processor ◽  
Cellular Array

A Cellular Array for Computing Bicubical B-Splines Coefficients

1988 ◽  
pp. 339-350
Author(s):  
L. Ciminiera ◽  
P. Montuschi ◽  
A. Valenzano
Keyword(s):  
B Splines ◽  
Cellular Array

COMPUTATIONAL AND COMPUTER COMPLEXITY OF ANALOGIC CELLULAR WAVE COMPUTERS

2003 ◽  
Vol 12 (04) ◽  
pp. 539-562 ◽  
Author(s):  
TAMÁS ROSKA
Keyword(s):  
Computational Complexity ◽  
Power Dissipation ◽  
New World ◽  
Computer Architectures ◽  
Universal Machine ◽  
Cellular Array ◽  
Physical Implementation ◽  
Definition Of ◽  
Logic Inference

The CNN Universal Machine is generalized as the latest step in computational architectures: a Universal Machine on Flows. Computational complexity and computer complexity issues are studied in different architectural settings. Three mathematical machines are considered: the universal machine on integers (UMZ), the universal machine on reals (UMR) and the universal machine on flows (UMF). The three machines induce different kinds of computational difficulties: combinatorial, algebraic, and dynamic, respectively. After a broader overview on computational complexity issues, it is shown, following the reasoning related the UMR, that in many cases the size is not the most important parameter related to computational complexity. Emerging new computing and computer architectures as well as their physical implementation suggest a new look on computational and computer complexities. The new analog-and-logic (analogic) cellular array computer paradigm, based on the CNN Universal Machine, and its physical implementation in CMOS and optical technologies, proves experimentally the relevance of the role of accuracy and problem parameter in computational complexity. We introduce also the rigorous definition of computational complexity for UMF and prove an NP class of problems. It is also shown that choosing the spatial temporal elementary instructions, as well as taking into account the area and power dissipation, these choices inherently influence computational complexity and computer complexity, respectively. Comments related to relevance to biology of the UMF are presented in relation to complexity theory. It is shown that algorithms using spatial-temporal continuous elementary instructions (α-recursive functions) represent not only a new world in computing, but also, a more general type of logic inference.

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