A survey on memory-centric computer architectures
A Gebregiorgis, HA Du Nguyen, J Yu… - ACM Journal on …, 2022 - dl.acm.org
Faster and cheaper computers have been constantly demanding technological and
architectural improvements. However, current technology is suffering from three technology …
architectural improvements. However, current technology is suffering from three technology …
Non-volatile processor based on MRAM for ultra-low-power IoT devices
Over the past few years, a new era of smart connected devices has emerged in the market to
enable the future world of the Internet of Things (IoT). A key requirement for IoT applications …
enable the future world of the Internet of Things (IoT). A key requirement for IoT applications …
Topolinano: a cad tool for nano magnetic logic
In the post-CMOS scenario, field coupled nanotechnologies represent an innovative and
interesting new direction for electronic nanocomputing. Among these technologies …
interesting new direction for electronic nanocomputing. Among these technologies …
MagCAD: tool for the design of 3-D magnetic circuits
The post-CMOS scenario poses many challenges to researchers. Innovative solutions must
be found to further improve electronic circuits. Exploiting the potential offered by the third …
be found to further improve electronic circuits. Exploiting the potential offered by the third …
Reconfigurable aJ-Level Ferroelectric Transistor-Based Boolean Logic for Logic-in-Memory
Logic-in-memory (LIM) architecture holds great potential to break the von Neumann
bottleneck. Despite the extensive research on novel devices, challenges persist in …
bottleneck. Despite the extensive research on novel devices, challenges persist in …
Fast Sobel edge detection for IoT edge devices
The emerging IoT edge applications demand fast and energy-efficient hardware
requirements for data processing. Conventional computing architectures are quite inefficient …
requirements for data processing. Conventional computing architectures are quite inefficient …
Low-energy acceleration of binarized convolutional neural networks using a spin hall effect based logic-in-memory architecture
A Samiee, P Borulkar, RF DeMara… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Deep Learning (DL) offers the advantages of high accuracy performance at tasks such as
image recognition, learning of complex intelligent behaviors, and large-scale information …
image recognition, learning of complex intelligent behaviors, and large-scale information …
A pNML compact model enabling the exploration of three-dimensional architectures
In nano magnetic logic (NML), single-domain nanomagnets enable logic operations. Binary
information can be encoded thanks to its bistable magnetization. Many implementations are …
information can be encoded thanks to its bistable magnetization. Many implementations are …
Process-in-Memory realized by nonvolatile Task-Scheduling and Resource-Sharing XNOR-Net hardware Accelerator architectures
Due to the success of artificial intelligence systems in solving complex problems, these
systems have been investigated in many applications. There is an increasing demand for …
systems have been investigated in many applications. There is an increasing demand for …
Novel bit-sliced near-memory computing based VLSI architecture for fast Sobel edge detection in IoT edge devices
For today's Internet-of-Things (IoT) edge devices, there is an acute need for fast and power-
efficient hardware for an image processing task. Traditional hardware solutions with …
efficient hardware for an image processing task. Traditional hardware solutions with …