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Memory devices and applications for in-memory computing
Traditional von Neumann computing systems involve separate processing and memory
units. However, data movement is costly in terms of time and energy and this problem is …
units. However, data movement is costly in terms of time and energy and this problem is …
Resistive switching materials for information processing
The rapid increase in information in the big-data era calls for changes to information-
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
processing paradigms, which, in turn, demand new circuit-building blocks to overcome the …
Neuromorphic computing with multi-memristive synapses
Neuromorphic computing has emerged as a promising avenue towards building the next
generation of intelligent computing systems. It has been proposed that memristive devices …
generation of intelligent computing systems. It has been proposed that memristive devices …
Compute in‐memory with non‐volatile elements for neural networks: A review from a co‐design perspective
Deep learning has become ubiquitous, touching daily lives across the globe. Today,
traditional computer architectures are stressed to their limits in efficiently executing the …
traditional computer architectures are stressed to their limits in efficiently executing the …
A novel true random number generator based on a stochastic diffusive memristor
The intrinsic variability of switching behavior in memristors has been a major obstacle to
their adoption as the next generation of universal memory. On the other hand, this natural …
their adoption as the next generation of universal memory. On the other hand, this natural …
Mixed-precision in-memory computing
As complementary metal–oxide–semiconductor (CMOS) scaling reaches its technological
limits, a radical departure from traditional von Neumann systems, which involve separate …
limits, a radical departure from traditional von Neumann systems, which involve separate …
Threshold switching of Ag or Cu in dielectrics: materials, mechanism, and applications
Threshold switches with Ag or Cu active metal species are volatile memristors (also termed
diffusive memristors) featuring spontaneous rupture of conduction channels. The temporal …
diffusive memristors) featuring spontaneous rupture of conduction channels. The temporal …
Chalcogenide ovonic threshold switching selector
Today's explosion of data urgently requires memory technologies capable of storing large
volumes of data in shorter time frames, a feat unattainable with Flash or DRAM. Intel Optane …
volumes of data in shorter time frames, a feat unattainable with Flash or DRAM. Intel Optane …
A phase-change memory model for neuromorphic computing
Phase-change memory (PCM) is an emerging non-volatile memory technology that is based
on the reversible and rapid phase transition between the amorphous and crystalline phases …
on the reversible and rapid phase transition between the amorphous and crystalline phases …
In-memory computing on a photonic platform
Collocated data processing and storage are the norm in biological computing systems such
as the mammalian brain. As our ability to create better hardware improves, new …
as the mammalian brain. As our ability to create better hardware improves, new …