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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
Memcapacitive Devices in Logic and Crossbar Applications
Over the last decade, memristive devices have been widely adopted in
computing for various conventional and unconventional applications. While the
integration density, memory property, and nonlinear characteristics have many
benefits, reducing the energy consumption is limited by the resistive nature of
the devices. Memcapacitors would address that limitation while still having all
the benefits of memristors. Recent work has shown that with adjusted parameters
during the fabrication process, a metal-oxide device can indeed exhibit a
memcapacitive behavior. We introduce novel memcapacitive logic gates and
memcapacitive crossbar classifiers as a proof of concept that such applications
can outperform memristor-based architectures. The results illustrate that,
compared to memristive logic gates, our memcapacitive gates consume about 7x
less power. The memcapacitive crossbar classifier achieves similar
classification performance but reduces the power consumption by a factor of
about 1,500x for the MNIST dataset and a factor of about 1,000x for the
CIFAR-10 dataset compared to a memristive crossbar. Our simulation results
demonstrate that memcapacitive devices have great potential for both Boolean
logic and analog low-power applications
Is Spiking Logic the Route to Memristor-Based Computers?
Memristors have been suggested as a novel route to neuromorphic computing
based on the similarity between neurons (synapses and ion pumps) and
memristors. The D.C. action of the memristor is a current spike, which we think
will be fruitful for building memristor computers. In this paper, we introduce
4 different logical assignations to implement sequential logic in the memristor
and introduce the physical rules, summation, `bounce-back', directionality and
`diminishing returns', elucidated from our investigations. We then demonstrate
how memristor sequential logic works by instantiating a NOT gate, an AND gate
and a Full Adder with a single memristor. The Full Adder makes use of the
memristor's memory to add three binary values together and outputs the value,
the carry digit and even the order they were input in.Comment: Conference paper. Work also reported in US patent: `Logic device and
method of performing a logical operation', patent application no. 14/089,191
(November 25, 2013
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