Spintronics for energy-efficient computing: An overview and outlook
From the discovery of giant magnetoresistance (GMR) to tunnel magnetoresistance (TMR),
their subsequent application in large capacity hard disk drives (HDDs) greatly speeded up …
their subsequent application in large capacity hard disk drives (HDDs) greatly speeded up …
Chip and package-scale interconnects for general-purpose, domain-specific and quantum computing systems-overview, challenges and opportunities
The anticipated end of Moore's law, coupled with the breakdown of Dennard scaling,
compelled everyone to conceive forthcoming computing systems once transistors reach their …
compelled everyone to conceive forthcoming computing systems once transistors reach their …
A survey of domain-specific architectures for reinforcement learning
M Rothmann, M Porrmann - IEEE Access, 2022 - ieeexplore.ieee.org
Reinforcement learning algorithms have been very successful at solving sequential decision-
making problems in many different problem domains. However, their training is often time …
making problems in many different problem domains. However, their training is often time …
A survey on machine learning accelerators and evolutionary hardware platforms
Advanced computing systems have long been enablers for breakthroughs in artificial
intelligence (AI) and machine learning (ML) algorithms, either through sheer computational …
intelligence (AI) and machine learning (ML) algorithms, either through sheer computational …
Accurate and efficient molecular dynamics based on machine learning and non von Neumann architecture
P Mo, C Li, D Zhao, Y Zhang, M Shi, J Li… - npj Computational …, 2022 - nature.com
Force field-based classical molecular dynamics (CMD) is efficient but its potential energy
surface (PES) prediction error can be very large. Density functional theory (DFT)-based ab …
surface (PES) prediction error can be very large. Density functional theory (DFT)-based ab …
Compact model of retention characteristics of ferroelectric FinFET synapse with MFIS gate stack
In this paper, multiple-fin n-and p-channel HfZrO 2 ferroelectric-FinFET devices are
manufactured using a gate first process with post metalization annealing. The device …
manufactured using a gate first process with post metalization annealing. The device …
AI/ML algorithms and applications in VLSI design and technology
An evident challenge ahead for the integrated circuit (IC) industry is the investigation and
development of methods to reduce the design complexity ensuing from growing process …
development of methods to reduce the design complexity ensuing from growing process …
3dl-pim: A look-up table oriented programmable processing in memory architecture based on the 3-d stacked memory for data-intensive applications
Memory-centric computing systems have demonstrated superior performance and efficiency
in memory-intensive applications compared to state-of-the-art CPUs and GPUs. 3-D stacked …
in memory-intensive applications compared to state-of-the-art CPUs and GPUs. 3-D stacked …
Implementation of a binary neural network on a passive array of magnetic tunnel junctions
The increasing scale of neural networks and their growing application space have produced
demand for more energy-and memory-efficient artificial-intelligence-specific hardware …
demand for more energy-and memory-efficient artificial-intelligence-specific hardware …
[HTML][HTML] A review on computational storage devices and near memory computing for high performance applications
D Fakhry, M Abdelsalam, MW El-Kharashi… - … , Devices, Circuits and …, 2023 - Elsevier
The von Neumann bottleneck is imposed due to the explosion of data transfers and
emerging data-intensive applications in heterogeneous system architectures. The …
emerging data-intensive applications in heterogeneous system architectures. The …