Modeling and compensation of IR drop in crosspoint accelerators of neural networks
In-memory computing (IMC) has the potential of accelerating data-intensive computing
tasks, such as inference and training of neural networks, by the matrix vector multiplication …
tasks, such as inference and training of neural networks, by the matrix vector multiplication …
Low-power resistive memory integrated on III–V vertical nanowire MOSFETs on silicon
III-V vertical nanowire MOSFETs (VNW-FETs) have the potential to extend Moore's law
owing to their excellent material properties. To integrate highly scaled memory cells coupled …
owing to their excellent material properties. To integrate highly scaled memory cells coupled …
Engineering tunneling selector to achieve high non-linearity for 1s1r integration
Memristor devices have been extensively studied as one of the most promising technologies
for next-generation non-volatile memory. However, for the memristor devices to have a real …
for next-generation non-volatile memory. However, for the memristor devices to have a real …
Mitigating read-program variation and IR drop by circuit architecture in RRAM-based neural network accelerators
In-memory computing (IMC) with memory arrays allows reducing the time and energy
consumption for matrix vector multiplication (MVM) for artificial neural networks (ANN) …
consumption for matrix vector multiplication (MVM) for artificial neural networks (ANN) …
Scalable and Energy-Efficient NN Acceleration with GPU-ReRAM Architecture
As AI techniques are increasingly adopted in various industry sectors, reducing energy
consumption in Neural Network applications has become a priority for researchers. One …
consumption in Neural Network applications has become a priority for researchers. One …
Check for updates Scalable and Energy-Efficient NN Acceleration with GPU-ReRAM Architecture
RF de Moura, L Carro - Applied Reconfigurable Computing …, 2023 - books.google.com
As AI techniques are increasingly adopted in various industry sectors, reducing energy
consumption in Neural Network applications has become a priority for researchers. One …
consumption in Neural Network applications has become a priority for researchers. One …
[PDF][PDF] LOW-ENERGY MEMRISTORS & HIGH-NONLINEARITY SELECTOR FOR DENSE PASSIVE CROSS-BAR ARRAYS
NK Upadhyay - 2021 - scholarworks.umass.edu
MAY 2021 NAVNIDHI K. UPADHYAY B. Tech., NATIONAL INSTITUTE OF SCIENCE &
TECHNOLOGY M. Tech., INDIAN INSTITUTE OF TECHNOLOGY BOMBAY Ph. D …
TECHNOLOGY M. Tech., INDIAN INSTITUTE OF TECHNOLOGY BOMBAY Ph. D …