Emerging Memory and Computing Devices in the Era of Intelligent Machines |
Autore | Khalili Pedram |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (276 p.) |
Soggetto non controllato |
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 |
ISBN | 3-03928-503-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404088103321 |
Khalili Pedram | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Image Processing Using FPGAs |
Autore | Bailey Donald |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (204 p.) |
Soggetto non controllato |
nuclei detection
System-on-Chip FPGA K-Means hardware acceleration image analysis perceptual coding line buffer heterogeneous computing window filters processor architectures hardware accelerators stream processing embedded systems image processing pipeline image processing generalized Laplacian of Gaussian filter background estimation real-time systems FPGA implementation hardware architecture compression image borders memory zig-zag scan histopathology just-noticeable difference (JND) memory management downsampling image segmentation feature extraction design mean Shift clustering high-throughput segmentation streaming architecture power D-SWIM hardware/software co-design high-level synthesis contrast masking texture detection pipeline field programmable gate array (FPGA) JPEG-LS low-latency connected components analysis luminance masking field programmable gate arrays (FPGA) |
ISBN | 3-03897-919-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346693003321 |
Bailey Donald | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|