In‐Memory Vector‐Matrix Multiplication in Monolithic Complementary Metal–Oxide–Semiconductor‐Memristor Integrated Circuits: Design Choices, Challenges, and …
The low communication bandwidth between memory and processing units in conventional
von Neumann machines does not support the requirements of emerging applications that …
von Neumann machines does not support the requirements of emerging applications that …
Advances in emerging memory technologies: From data storage to artificial intelligence
G Molas, E Nowak - Applied Sciences, 2021 - mdpi.com
This paper presents an overview of emerging memory technologies. It begins with the
presentation of stand-alone and embedded memory technology evolution, since the …
presentation of stand-alone and embedded memory technology evolution, since the …
A four-megabit compute-in-memory macro with eight-bit precision based on CMOS and resistive random-access memory for AI edge devices
JM Hung, CX Xue, HY Kao, YH Huang, FC Chang… - Nature …, 2021 - nature.com
Non-volatile computing-in-memory (nvCIM) architecture can reduce the latency and energy
consumption of artificial intelligence computation by minimizing the movement of data …
consumption of artificial intelligence computation by minimizing the movement of data …
IntAct: A 96-core processor with six chiplets 3D-stacked on an active interposer with distributed interconnects and integrated power management
P Vivet, E Guthmuller, Y Thonnart… - IEEE Journal of Solid …, 2020 - ieeexplore.ieee.org
In the context of high-performance computing, the integration of more computing capabilities
with generic cores or dedicated accelerators for artificial intelligence (AI) application is …
with generic cores or dedicated accelerators for artificial intelligence (AI) application is …
Multi-state memristors and their applications: An overview
Memristors show great potential for being integrated into CMOS technology and provide
new approaches for designing computing-in-memory (CIM) systems, brain-inspired …
new approaches for designing computing-in-memory (CIM) systems, brain-inspired …
Defects, fault modeling, and test development framework for RRAMs
Resistive RAM (RRAM) is a promising technology to replace traditional technologies such
as Flash, because of its low energy consumption, CMOS compatibility, and high density …
as Flash, because of its low energy consumption, CMOS compatibility, and high density …
A parallel multibit programing scheme with high precision for RRAM-based neuromorphic systems
Resistive random access memory (RRAM) has been extensively studied as a promising
candidate for neuromorphic computing. So far, high-precision multibit programming of …
candidate for neuromorphic computing. So far, high-precision multibit programming of …
Monolithic 3-D integration
The demands of future applications in computing (from self-driving cars to bioinformatics)
overwhelm the projected capabilities of current electronic systems. The need to process …
overwhelm the projected capabilities of current electronic systems. The need to process …
RRAM-DNN: An RRAM and model-compression empowered all-weights-on-chip DNN accelerator
This article presents an energy-efficient deep neural network (DNN) accelerator with non-
volatile embedded resistive random access memory (RRAM) for mobile machine learning …
volatile embedded resistive random access memory (RRAM) for mobile machine learning …
Four-bits-per-memory one-transistor-and-eight-resistive-random-access-memory (1T8R) array
We demonstrate a 1MBit array of 1-Transistor-8-Resistive RAM (1T8R) memory fabricated
using a foundry logic technology. Using a gradual SET/RESET programming scheme …
using a foundry logic technology. Using a gradual SET/RESET programming scheme …