Maxnvm: Maximizing dnn storage density and inference efficiency with sparse encoding and error mitigation
Deeply embedded applications require low-power, low-cost hardware that fits within
stringent area constraints. Deep learning has many potential uses in these domains, but …
stringent area constraints. Deep learning has many potential uses in these domains, but …
Multi-level control of resistive ram (rram) using a write termination to achieve 4 bits/cell in high resistance state
RRAM density enhancement is essential not only to gain market share in the highly
competitive emerging memory sector but also to enable future high-capacity and power …
competitive emerging memory sector but also to enable future high-capacity and power …
Impact of program/erase operation on the performances of oxide-based resistive switching memory
G Wang, S Long, Z Yu, M Zhang, Y Li, D Xu… - Nanoscale research …, 2015 - Springer
Further performance improvement is necessary for resistive random access memory
(RRAM) to realize its commercialization. In this work, a novel pulse operation method is …
(RRAM) to realize its commercialization. In this work, a novel pulse operation method is …
Density enhancement of RRAMs using a RESET write termination for MLC operation
Multi-Level Cell (MLC) technology can greatly reduce Resistive RAM (RRAM) die sizes to
achieve a breakthrough in cost structure. In this paper, a novel design scheme is proposed …
achieve a breakthrough in cost structure. In this paper, a novel design scheme is proposed …
Memti: Optimizing on-chip nonvolatile storage for visual multitask inference at the edge
The combination of specialized hardware and embedded nonvolatile memories (eNVM)
holds promise for energy-efficient deep neural network (DNN) inference at the edge …
holds promise for energy-efficient deep neural network (DNN) inference at the edge …
Double-Forming Mechanism of TaOx-Based Resistive Memory Device and Its Synaptic Applications
D Ju, S Kim, S Lee, S Kim - Materials, 2023 - mdpi.com
The bipolar resistive switching properties of Pt/TaOx/InOx/ITO-resistive random-access
memory devices under DC and pulse measurement conditions are explored in this work …
memory devices under DC and pulse measurement conditions are explored in this work …
A flexible characterization methodology of RRAM: Application to the modeling of the conductivity changes as synaptic weight updates
M Pedro, J Martín-Martínez, R Rodriguez… - Solid-State …, 2019 - Elsevier
In this work, an automatic and flexible measurement setup, which allows a massive electrical
characterization of single RRAM devices with pulsed voltages, is presented. The evaluation …
characterization of single RRAM devices with pulsed voltages, is presented. The evaluation …
[HTML][HTML] Oxide-Based Resistive RAM Analog Synaptic Behavior Assessment for Neuromemristive Systems
H Aziza - Memristors-the Fourth Fundamental Circuit Element …, 2023 - intechopen.com
Resistive RAM (RRAM) synaptic plasticity behavior is essential to enable future power-
efficient brain-inspired accelerators. In oxide-based RAM (so-called OxRAM), synaptic …
efficient brain-inspired accelerators. In oxide-based RAM (so-called OxRAM), synaptic …
Experimental analysis of oxide-based ram analog synaptic behavior
One of the important features of Resistive RAM (RRAM) is its conductance modulation,
which makes it suitable for neuromorphic computing systems. In this paper, the conductance …
which makes it suitable for neuromorphic computing systems. In this paper, the conductance …
A high-precision time-domain RRAM state control approach
AA Bagheri-Soulla, MB Ghaznavi-Ghoushchi - Microelectronics journal, 2018 - Elsevier
RRAM as an analog-like element could be utilized in many interesting applications. Highly
non-linear characteristics and fabrication related variations are the most important obstacles …
non-linear characteristics and fabrication related variations are the most important obstacles …