338 research outputs found
Memristor-based Circuits for Performing Basic Arithmetic Operations
In almost all of the currently working circuits, especially in analog
circuits implementing signal processing applications, basic arithmetic
operations such as multiplication, addition, subtraction and division are
performed on values which are represented by voltages or currents. However, in
this paper, we propose a new and simple method for performing analog arithmetic
operations which in this scheme, signals are represented and stored through a
memristance of the newly found circuit element, i.e. memristor, instead of
voltage or current. Some of these operators such as divider and multiplier are
much simpler and faster than their equivalent voltage-based circuits and they
require less chip area. In addition, a new circuit is designed for programming
the memristance of the memristor with predetermined analog value. Presented
simulation results demonstrate the effectiveness and the accuracy of the
proposed circuits.Comment: 5pages, 4 figures, Accepted in World Conference on Information
Technology, turkey, 201
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MADX: Memristors-As-Drivers for Crossbar logic
Memristors have the potential to not only replace conventional memory, but also to open up new design possibilities because they store 1s and 0s as resistances rather than voltages. A memristor architecture that has attracted interest for its versatility and ease of integration with existing CMOS technologies is the crossbar array. In this paper, I modify the MAD scheme to create the MADX scheme for performing basic logic operations within a crossbar array. Then, I compare this scheme against two of the most well-known schemes, MAGIC and IMPLY. In the case study of a full-adder, both a one-bit and an 8-bit version, the MADX scheme achieves lower latency and substantially lower area requirements than both MAGIC and IMPLY. This is because it is more flexible about storing output values than either, does not destroy input values unlike IMPLY, and has more basic operations. In particular, it has XOR, which neither IMPLY nor MAGIC have and is useful for additionPlan II Honors Progra
Neuromorphic, Digital and Quantum Computation with Memory Circuit Elements
Memory effects are ubiquitous in nature and the class of memory circuit
elements - which includes memristors, memcapacitors and meminductors - shows
great potential to understand and simulate the associated fundamental physical
processes. Here, we show that such elements can also be used in electronic
schemes mimicking biologically-inspired computer architectures, performing
digital logic and arithmetic operations, and can expand the capabilities of
certain quantum computation schemes. In particular, we will discuss few
examples where the concept of memory elements is relevant to the realization of
associative memory in neuronal circuits, spike-timing-dependent plasticity of
synapses, digital and field-programmable quantum computing
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