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Emerging Memory and Computing Devices in the Era of Intelligent Machines
Pedram Khalili Amiri
2020
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Computing systems are undergoing a transformation from logic-centric towards memory-centric architectures, where overall performance and energy efficiency at the system level are determined by the density, performance, functionality and efficiency of the memory, rather than the logic sub-system.
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Keywords
- 3D-stacked
- analogue computing
- annealing temperatures
- associative processor
- BCH
- bioelectronic devices
- biologic gate
- biomemory
- bionanohybrid material
- bioprocessor
- bipolar resistive switching characteristics
- blockchain
- chalcogenide
- character recognition
- charge spreading
- conductive filament
- configurable logic-in-memory architecture
- convolutional neural networks
- crossbar
- crossbar array
- CUDA
- data retention
- decoder
- Dram
- dynamic voltage scaling
- ECG
- electrochemical metallization (ECM)
- electrochemical metallization cell
- Emerging Technologies
- Fast Fourier Transform
- flash memory
- flip-flop
- Floating gate
- Galois field
- GPU
- guide training
- Hebbian training
- hybrid
- IBM
- image classification
- in-DRAM cache
- in-memory computing
- Internet of Things
- ion conduction
- logic-in-memory
- low-latency
- low-power
- low-power technique
- magnetic tunnel junction
- magnetoresistive random access memory
- matrix-vector multiplication
- MCU (microprogrammed control unit)
- memory wall
- memristor
- multi-level cell
- n/a
- Nanoparticles
- neuromorphic computing
- neuromorphic system
- non-von Neumann architecture
- nonvolatile memory
- nucleic acid
- Oxygen-related trap
- perpendicular Nano Magnetic Logic (pNML)
- phase change memory
- plasma treatment
- power gating
- programmable ramp-down current pulses
- Protein
- quantum point contact
- real-time system
- resistance switching mechanism
- resistive memory
- resistive random access memory (RRAM)
- RISC-V
- self-directed channel (SDC)
- silicon oxide-based memristors
- solution-based dielectric
- SONOS
- STT-MRAM
- synaptic weight
- task placement
- U-shape recessed channel
- variability
- voltage-controlled magnetic anisotropy
- Weibull distribution
- wire resistance
Links
DOI: 10.3390/books978-3-03928-503-7Editions
![edition cover edition cover](/static/images/generic_cover_larger.png)