In this paper we propose a novel approach to the synthesis of minimal-sized lattices, based on the decomposition of logic functions. Since the decomposition allows to obtain circuits with a smaller area, our idea is to decompose Boolean functions with separate lattices, according to the P-circuits decomposition scheme, and then to implement the decomposed blocks with physically separated regions in a single lattice. Experimental results show that about 35% of the considered benchmarks achieve a smaller area when implemented using the proposed decomposition for switching lattices, with an average gain of at least 24%

In this paper we study the switching lattice synthesis of a special class of regular Boolean functions called D-reducible functions. D-reducible functions are functions whose points are completely contained in an affine space A strictly smaller than the whole Boolean cube 0, 1n. The D-reducibility of a function can be exploited in the lattice synthesis process: the idea is to independently find lattice implementations for the characteristic function of the subspace A and for the projection of onto A, and to compose them in order to construct the lattice for. The overall lattice area can be further reduced exploiting the peculiar structure of the affine subspaces of 0, 1n. To this aim, we propose a method for implementing compact lattice representations of affine subspaces whose characteristic function is represented by the product of single literals and EXOR factors of two literals. The experimental results validate the proposed approach

This paper describes the AM06 chip, which is a highly parallel processor for pattern 15 recognition in high energy physics experiments. It contains memory banks that store data organized 16 in 18 bit words; a group of 8 words is called "pattern". Each AM06 chip can store up to 2 17 patterns. 17The AM06 integrates serializer/deserializer IP blocks at 2 Gbit/s for input/output communication,

Beyond CMOS, new technologies are emerging to extend electronic systems with features unavailable to silicon-based devices. Emerging technologies provide new logic and interconnection structures for computation, storage and communication that may require new design paradigms, and therefore trigger the development of a new generation of design automation tools. In the last decade, several emerging technologies have been proposed and the time has come for studying new ad-hoc techniques and tools for logic synthesis, physical design and testing. The main goal of this project is developing a complete synthesis and optimization methodology for switching nano-crossbar arrays that leads to the design and construction of an emerging nanocomputer. New models for diode, FET, and four-terminal switch based nanoarrays are developed. The proposed methodology implements logic, arithmetic, and memory elements by considering performance parameters such as area, delay, power dissipation, and reliability. With combination of logic, arithmetic, and memory elements a synchronous state machine (SSM), representation of a computer, is realized. The proposed methodology targets variety of emerging technologies including nanowire/nanotube crossbar arrays, magnetic switch-based structures, and crossbar memories. The results of this project will be a foundation of nano-crossbar based circuit design techniques and greatly contribute to the construction of emerging computers beyond CMOS. The topic of this project can be considered under the research area of â\u80\u9cEmerging Computing Modelsâ\u80\u9d or â\u80\u9cComputational Nanoelectronicsâ\u80\u9d, more specifically the design, modeling, and simulation of new nanoscale switches beyond CMOS

Abstract-In this paper we describe a Content Addressable Memory (CAM) architecture based on a new custom cell, called XORAM. The cell is composed by two main blocks: a 6T-SRAM, and a 4T-XOR logic gate. Each XORAM cell compares the input data on the bit line with the data stored in the 6T-SRAM cell. The output matching bit is obtained by performing a NOR operation between all bits of the XORAM cells storing the word. The proposed architecture is based on a fully-CMOS combinational logic, and it does nor require any precharge operation or control and timing logic. A compact full-custom layout has been designed for a memory organized in 18-bit words, to reduce both area and power consumption. Compared with a conventional selective precharge match-line technique, the proposed circuit occupies less area. Simulation results demonstrate that power consumption is reduced by a factor of 8.