Computing on silicon with trigger waves: experiments on CNN-UM chips
نویسندگان
چکیده
In this paper, experimental results on Cellular Neural Network Universal Machine (CNN-UM, [1]-[4]) chips will be presented. These analogic spatio-temporal visual microprocessors make it possible that one can use nonlinear waves as the basic kernels of algorithms solving filtering-reconstruction and/or detectionclassification problems. Showing output results from series of experiments it will be demonstrated how trigger waves, the simplest nonlinear waves, can constructively be used in a number of important application areas.
منابع مشابه
Exploration Of Spatial-Temporal Dynamic Phenomena In A 32*32-Cell Stored Program Two-Layer CNN Universal Machine Chip Prototype
This paper describes a full-custom mixed-signal chip that embeds digitally programmable analog parallel processing and distributed image memory on a common silicon substrate. The chip was designed and fabricated in a standard 0.5μm CMOS technology and contains approximately 500,000 transistors. It consists of 1024 processing units arranged into a 32×32 grid. Each processing element contains two...
متن کاملStochastic Simulations on the Cellular Wave Computers
The computational paradigm represented by Cellular Neural/nonlinear Networks (CNN) and the CNN Universal Machine (CNN-UM) as a Cellular Wave Computer, gives new perspectives for computational physics. Many numerical problems and simulations can be elegantly addressed on this fully parallelized and analogic architecture. Here we study the possibility of performing stochastic simulations on this ...
متن کاملArt-like Classifications of Binary Vectors on the Cnn Universal Machine Dávid Bálya and Tamás Roska
Fast and robust classification of feature vectors is a crucial task in a number of real-time systems. A cellular neural/nonlinear network universal machine (CNN-UM) [1, 2] can be applied very efficiently as a feature detector and also for post-processing the results for object recognition. This paper shows how a robust classification scheme based on adaptive resonance theory (ART) [3] can also ...
متن کامل20 μ sec focal plane image processing
Ultra high frame rate image processing was achieved by applying CNN-UM chips as focal plane array processors. By applying parallel optical input, and reading out binary decision from the chip only the computational overhead is negligible. This makes possible even 50,000 fps image capturing and complex processing. Experiments were done and are described in the paper.
متن کاملProgrammable Analogic Cellular Optical Computer using Bacteriorhodopsin as Analog Rewriteable Image Memory
Bacteriorhodopsin has been proved to be an outstanding candidate for reversible, transient, real-time, holographic material. Here we show our preliminary experimental investigation of its applicability as a transient analog memory, concentrating on its possible utilization in optical CNN implementations and in programmable opto-electronic analogic CNN computers (POAC). Different possible archit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001