Memory devices and applications for in-memory computing
Traditional von Neumann computing systems involve separate processing and memory
units. However, data movement is costly in terms of time and energy and this problem is …
units. However, data movement is costly in terms of time and energy and this problem is …
An overview of phase-change memory device physics
Phase-change memory (PCM) is an emerging non-volatile memory technology that has
recently been commercialized as storage-class memory in a computer system. PCM is also …
recently been commercialized as storage-class memory in a computer system. PCM is also …
Ferroelectric gating of two-dimensional semiconductors for the integration of steep-slope logic and neuromorphic devices
The co-integration of logic switches and neuromorphic functions could be used to create
new computing architectures with low power consumption and novel functionalities. Two …
new computing architectures with low power consumption and novel functionalities. Two …
Reconfigurable logic-in-memory architectures based on a two-dimensional van der Waals heterostructure device
Logic-in-memory architectures could be used to develop efficient computing devices with
low power consumption. However, the approach is limited by device performance issues …
low power consumption. However, the approach is limited by device performance issues …
A modern primer on processing in memory
Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …
design choice goes directly against at least three key trends in computing that cause …
A review of memristor: material and structure design, device performance, applications and prospects
Y **ao, B Jiang, Z Zhang, S Ke, Y **… - … and Technology of …, 2023 - Taylor & Francis
With the booming growth of artificial intelligence (AI), the traditional von Neumann
computing architecture based on complementary metal oxide semiconductor devices are …
computing architecture based on complementary metal oxide semiconductor devices are …
Emerging 2D memory devices for in‐memory computing
L Yin, R Cheng, Y Wen, C Liu, J He - Advanced Materials, 2021 - Wiley Online Library
It is predicted that the conventional von Neumann computing architecture cannot meet the
demands of future data‐intensive computing applications due to the bottleneck between the …
demands of future data‐intensive computing applications due to the bottleneck between the …
Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations
Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …
as execution time, computational complexity, and efficiency like process time and delays in …
Benchmarking a new paradigm: Experimental analysis and characterization of a real processing-in-memory system
Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …
fundamentally memory-bound. For such workloads, the data movement between main …
Memristors—From in‐memory computing, deep learning acceleration, and spiking neural networks to the future of neuromorphic and bio‐inspired computing
Machine learning, particularly in the form of deep learning (DL), has driven most of the
recent fundamental developments in artificial intelligence (AI). DL is based on computational …
recent fundamental developments in artificial intelligence (AI). DL is based on computational …