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.
Efnisorð
image classification bipolar resistive switching characteristics bioelectronic devices self-directed channel (SDC) programmable ramp-down current pulses nanoparticles protein DRAM convolutional neural networks silicon oxide-based memristors electrochemical metallization cell magnetic tunnel junction power gating resistance switching mechanism BCH Fast Fourier Transform nucleic acid biomemory conductive filament resistive random access memory (RRAM) non-von Neumann architecture emerging technologies Galois field variability logic-in-memory charge spreading memristor Hebbian training crossbar quantum point contact SONOS bionanohybrid material ECG neuromorphic computing CUDA low-latency iBM Oxygen-related trap nonvolatile memory phase change memory floating gate non-von neumann architecture 3D-stacked STT-MRAM solution-based dielectric GPU Internet of things configurable logic-in-memory architecture memory wall biologic gate synaptic weight guide training ion conduction perpendicular Nano Magnetic Logic (pNML) Weibull distribution real-time system in-DRAM cache task placement dynamic voltage scaling MCU (microprogrammed control unit) wire resistance multi-level cell chalcogenide decoder character recognition matrix-vector multiplication hybrid magnetoresistive random access memory blockchain electrochemical metallization (ECM) RISC-V U-shape recessed channel neuromorphic system in-memory computing crossbar array associative processor low-power plasma treatment voltage-controlled magnetic anisotropy flash memory resistive memory analogue computing bioprocessor annealing temperatures data retention flip-flop low-power technique