Low Power Memory/Memristor Devices and Systems
Material type:
- text
- computer
- online resource
- 9783036561851
- 9783036561868
- books978-3-0365-6186-8
- History of engineering and technology
- Technology: general issues
- 1Transistor-1Resistor (1T-1R)
- adder
- amplitude response
- BNN
- Boolean logic
- cellular nonlinear networks
- compilation
- continuous-time programming
- control theory
- convolutions
- cross-point
- electrical characteristics
- energy modeling
- energy wall
- equalizer
- floating-gate memory array
- floating-gate transistor
- floorplanning
- FPAA
- graph coloring
- group delay variation
- hardware security primitive
- in-memory computing
- instruction set
- laser treatment
- locally-active memristors
- logic-in-memory
- Logic-in-Memory (LiM)
- low-bandwidth TIA
- majority logic
- memory
- memory wall
- memory-wall
- memristive logic
- memristor
- memristor oscillatory networks
- morphable security primitive
- MRAM
- multi-stage main amplifier
- multilayer perceptron
- neuromorphic
- non-volatile memory (NVM)
- Non-Volatile Memory (NVM)
- non-von neumann
- nonvolatile memory
- parallel-prefix adder
- pattern recognition
- physical design
- place and route
- power grid
- power-gating
- processing-in-memory
- PUF
- reconfigurable
- Resistive RAM
- resistive RAM (ReRAM)
- resistive switching
- resistive-switching
- RRAM
- selective SRPG
- silicon nitride
- silicon oxide
- SIMPLY
- SOI technology
- sram
- SRPG
- stencils
- thermal treatment
- TRNG
- Von Neumann's bottleneck
Open Access Unrestricted online access star
This reprint focusses on achieving low-power computation using memristive devices. The topic was designed as a convenient reference point: it contains a mix of techniques starting from the fundamental manufacturing of memristive devices all the way to applications such as physically unclonable functions, and also covers perspectives on, e.g., in-memory computing, which is inextricably linked with emerging memory devices such as memristors. Finally, the reprint contains a few articles representing how other communities (from typical CMOS design to photonics) are fighting on their own fronts in the quest towards low-power computation, as a comparison with the memristor literature. We hope that readers will enjoy discovering the articles within.
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https://creativecommons.org/licenses/by/4.0/
English
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