Hypergraf: Hyperdimensional graph-based reasoning acceleration on fpga
The latest hardware accelerators proposed for graph applications primarily focus on graph
neural networks (GNNs) and graph mining. High-level graph reasoning tasks, such as graph …
neural networks (GNNs) and graph mining. High-level graph reasoning tasks, such as graph …
Hdgim: Hyperdimensional genome sequence matching on unreliable highly scaled fefet
This is the first work to present a reliable application for highly scaled (down to merely 3nm),
multi-bit Ferroelectric FET (FeFET) technology. FeFET is one of the up-and-coming …
multi-bit Ferroelectric FET (FeFET) technology. FeFET is one of the up-and-coming …
Ferroelectric Content-Addressable Memory Cells with IGZO Channel: Impact of Retention Degradation on the Multibit Operation
Indium gallium zinc oxide (IGZO)-based ferroelectric thin-film transistors (FeTFTs) are being
vigorously investigated for being deployed in computing-in-memory (CIM) applications …
vigorously investigated for being deployed in computing-in-memory (CIM) applications …
Ferroelectric ternary content addressable memories for energy-efficient associative search
A fast and efficient search function across the database has been a core component for a
number of data-intensive tasks in machine learning, IoT applications, and inference …
number of data-intensive tasks in machine learning, IoT applications, and inference …
See-mcam: Scalable multi-bit fefet content addressable memories for energy efficient associative search
Artificial intelligence has made remarkable advancements in recent years, leading to the
development of algorithms and models capable of handling ever-increasing amounts of …
development of algorithms and models capable of handling ever-increasing amounts of …
FeFET-based in-memory hyperdimensional encoding design
The data explosion of Internet of Things (IoT) and machine learning tasks raises a great
demand on highly efficient computing hardware and paradigms. Brain-inspired …
demand on highly efficient computing hardware and paradigms. Brain-inspired …
Cloud migration framework clustering method for social decision support in modernizing the legacy system
M Aslam, LAB Rahim, J Watada… - Transactions on …, 2024 - Wiley Online Library
Cloud solutions accelerate the large‐scale acceptance of IoT projects. By diminishing the
need for maintaining on‐premises infrastructure, the cloud has enabled corporations to …
need for maintaining on‐premises infrastructure, the cloud has enabled corporations to …
In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies
Novel computer architectures like Compute-in-Memory (CiM) merge the memory and
processing units, mimicking the human brain. Simultaneously, Hyperdimensional …
processing units, mimicking the human brain. Simultaneously, Hyperdimensional …
In-memory search with learning to hash based on resistive memory for recommendation acceleration
F Wang, W Zhang, Z Li, N Lin, R Bao, X Xu… - npj Unconventional …, 2024 - nature.com
Similarity search is essential in current artificial intelligence applications and widely utilized
in various fields, such as recommender systems. However, the exponential growth of data …
in various fields, such as recommender systems. However, the exponential growth of data …
A fefet-based time-domain associative memory for multi-bit similarity computation
The exponential growth of data across various domains of human society necessitates the
rapid and efficient data processing. In many contemporary data-intensive applications …
rapid and efficient data processing. In many contemporary data-intensive applications …