Memory devices and applications for in-memory computing

A Sebastian, M Le Gallo, R Khaddam-Aljameh… - Nature …, 2020 - nature.com
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 …

An overview of phase-change memory device physics

M Le Gallo, A Sebastian - Journal of Physics D: Applied Physics, 2020 - iopscience.iop.org
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 …

Reconfigurable logic-in-memory architectures based on a two-dimensional van der Waals heterostructure device

X Sun, C Zhu, J Yi, L Xiang, C Ma, H Liu, B Zheng… - Nature …, 2022 - nature.com
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 …

Ferroelectric gating of two-dimensional semiconductors for the integration of steep-slope logic and neuromorphic devices

S Kamaei, X Liu, A Saeidi, Y Wei, C Gastaldi… - Nature …, 2023 - nature.com
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 …

A review of memristor: material and structure design, device performance, applications and prospects

Y Xiao, B Jiang, Z Zhang, S Ke, Y Jin… - … 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 …

A modern primer on processing in memory

O Mutlu, S Ghose, J Gómez-Luna… - … computing: from devices …, 2022 - Springer
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 …

Benchmarking a new paradigm: Experimental analysis and characterization of a real processing-in-memory system

J Gómez-Luna, I El Hajj, I Fernandez… - IEEE …, 2022 - ieeexplore.ieee.org
Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …

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 …

Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations

AHA Al-Jumaili, RC Muniyandi, MK Hasan, JKS Paw… - Sensors, 2023 - mdpi.com
Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …

In‐Memory Vector‐Matrix Multiplication in Monolithic Complementary Metal–Oxide–Semiconductor‐Memristor Integrated Circuits: Design Choices, Challenges, and …

A Amirsoleimani, F Alibart, V Yon, J Xu… - Advanced Intelligent …, 2020 - Wiley Online Library
The low communication bandwidth between memory and processing units in conventional
von Neumann machines does not support the requirements of emerging applications that …