Technical Resources
The latest presentations and papers highlighting Weebit’s ReRAM/RRAM technology developments
Fully Binarized, Parallel, RRAM Based Computing Primitive for In Memory Similarity Search
A fully-binarized XOR based IMSS (In-Memory Similarity Search) using RRAM (Resistive Random Access Memory) arrays (IEEE Transactions on Circuits and Systems II)
Weebit ReRAM: Neuromorphic Demo
A bio-inspired neuromorphic computing demonstration using Weebit’s RRAM, developed by CEA-Leti and Weebit Nano
Weebit ReRAM Technology Demo
A demonstration of the real-world silicon-based NVM capability of Weebit’s RRAM, developed by CEA-Leti and Weebit Nano
High temperature stability embedded ReRAM for 2x nm node and beyond
Details of the performance and reliability of Weebit ReRAM integrated in 28nm, highlighting the technology’s intrinsic high reliability (Weebit and CEA-Leti, IMW 2022)
Combining accuracy and plasticity in convolutional neural networks with ReRAM
Proposing a hardware solution that combines the benefits of artificial and spiking neural networks (IEEE Journal on Exploratory Solid-State Computational Devices and Circuits)
A Comprehensive Oxide-Based ReRAM TCAD Model with Experimental Verification
Detailing new predictive and physics-based TCAD simulations for modeling Oxide-based ReRAM (Weebit and Silvaco, International Memory Workshop 2021)
Fully-Integrated Spiking Neural Network (SNN) using RRAM as Synaptic Device
The first complete integration of a fully connected SNN with synaptic weights implemented using SiOx based resistive memories (Weebit and CEA-Leti, AICAS 2020)
SiOX-Based ReRAM Memory Window Optimization
Tuning the Initial Resistance to optimize the memory window – with successful use in an SNN architecture for handwritten digit classification (E-MRS Fall Meeting 2019)
Making SiOx ReRAM a Cost-effective Embedded Memory
Commercializing ReRAM designs requires the ability to understand and control important factors affecting ReRAM performance and reliability (Flash Memory Summit 2019)
Implementing Neural Network Synapses with ReRAM
How ReRAM can be used to implement analog accelerators for common deep learning neural networks and brain-inspired spiking neural networks (Flash Memory Summit 2019)
