Emerging Memory and Computing Devices in the Era of Intelligent Machines

• Autore: Khalili Pedram
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (276 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: 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; 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
• Sommario/riassunto: 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.
• Titolo autorizzato: Emerging Memory and Computing Devices in the Era of Intelligent Machines
• ISBN: 3-03928-503-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910404088103321
• Lo trovi qui: Univ. Federico II