Emerging Memory and Computing Devices in the Era of Intelligent Machines
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.
Saved in:
Main Author: | |
---|---|
Format: | Book Chapter |
Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2020
|
Subjects: | |
Online Access: | Get Fullteks DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 04348naaaa2201297uu 4500 | ||
---|---|---|---|
001 | doab_20_500_12854_46257 | ||
005 | 20210211 | ||
020 | |a books978-3-03928-503-7 | ||
020 | |a 9783039285037 | ||
020 | |a 9783039285020 | ||
024 | 7 | |a 10.3390/books978-3-03928-503-7 |c doi | |
041 | 0 | |a English | |
042 | |a dc | ||
100 | 1 | |a Khalili, Pedram |4 auth | |
245 | 1 | 0 | |a Emerging Memory and Computing Devices in the Era of Intelligent Machines |
260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
300 | |a 1 electronic resource (276 p.) | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a 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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
546 | |a English | ||
653 | |a n/a | ||
653 | |a image classification | ||
653 | |a bipolar resistive switching characteristics | ||
653 | |a bioelectronic devices | ||
653 | |a self-directed channel (SDC) | ||
653 | |a programmable ramp-down current pulses | ||
653 | |a nanoparticles | ||
653 | |a protein | ||
653 | |a DRAM | ||
653 | |a convolutional neural networks | ||
653 | |a silicon oxide-based memristors | ||
653 | |a electrochemical metallization cell | ||
653 | |a magnetic tunnel junction | ||
653 | |a power gating | ||
653 | |a resistance switching mechanism | ||
653 | |a BCH | ||
653 | |a Fast Fourier Transform | ||
653 | |a nucleic acid | ||
653 | |a biomemory | ||
653 | |a conductive filament | ||
653 | |a resistive random access memory (RRAM) | ||
653 | |a non-von Neumann architecture | ||
653 | |a emerging technologies | ||
653 | |a Galois field | ||
653 | |a variability | ||
653 | |a logic-in-memory | ||
653 | |a charge spreading | ||
653 | |a memristor | ||
653 | |a Hebbian training | ||
653 | |a crossbar | ||
653 | |a quantum point contact | ||
653 | |a SONOS | ||
653 | |a bionanohybrid material | ||
653 | |a ECG | ||
653 | |a neuromorphic computing | ||
653 | |a CUDA | ||
653 | |a low-latency | ||
653 | |a iBM | ||
653 | |a Oxygen-related trap | ||
653 | |a nonvolatile memory | ||
653 | |a phase change memory | ||
653 | |a floating gate | ||
653 | |a non-von neumann architecture | ||
653 | |a 3D-stacked | ||
653 | |a STT-MRAM | ||
653 | |a solution-based dielectric | ||
653 | |a GPU | ||
653 | |a Internet of things | ||
653 | |a configurable logic-in-memory architecture | ||
653 | |a memory wall | ||
653 | |a biologic gate | ||
653 | |a synaptic weight | ||
653 | |a guide training | ||
653 | |a ion conduction | ||
653 | |a perpendicular Nano Magnetic Logic (pNML) | ||
653 | |a Weibull distribution | ||
653 | |a real-time system | ||
653 | |a in-DRAM cache | ||
653 | |a task placement | ||
653 | |a dynamic voltage scaling | ||
653 | |a MCU (microprogrammed control unit) | ||
653 | |a wire resistance | ||
653 | |a multi-level cell | ||
653 | |a chalcogenide | ||
653 | |a decoder | ||
653 | |a character recognition | ||
653 | |a matrix-vector multiplication | ||
653 | |a hybrid | ||
653 | |a magnetoresistive random access memory | ||
653 | |a blockchain | ||
653 | |a electrochemical metallization (ECM) | ||
653 | |a RISC-V | ||
653 | |a U-shape recessed channel | ||
653 | |a neuromorphic system | ||
653 | |a in-memory computing | ||
653 | |a crossbar array | ||
653 | |a associative processor | ||
653 | |a low-power | ||
653 | |a plasma treatment | ||
653 | |a voltage-controlled magnetic anisotropy | ||
653 | |a flash memory | ||
653 | |a resistive memory | ||
653 | |a analogue computing | ||
653 | |a bioprocessor | ||
653 | |a annealing temperatures | ||
653 | |a data retention | ||
653 | |a flip-flop | ||
653 | |a low-power technique | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/2198 |7 0 |z Get Fullteks |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/46257 |7 0 |z DOAB: description of the publication |