Experimental Demonstration of In-Memory Computing in a Ferrofluid System.
Sign Up to like & getrecommendations! Published in 2023 at "Advanced materials"
DOI: 10.1002/adma.202211406
Abstract: Magnetic fluids are excellent candidates for several important research fields including energy harvesting, biomedical applications, soft robotics and exploration. However, notwithstanding relevant advancements such as shape reconfigurability, that have been demonstrated, there is no evidence… read more here.
Keywords: ferrofluid; system; experimental demonstration; demonstration memory ... See more keywords
Memcomputing: fusion of memory and computing
Sign Up to like & getrecommendations! Published in 2017 at "Science China Information Sciences"
DOI: 10.1007/s11432-017-9313-6
Abstract: In this world of ubiquitous computing, the contemporary electronic digital computer has become an essential machine that is available anytime and everywhere. Computing systems come in various forms, including desktops, laptops, tablets, mobile phones, smart… read more here.
Keywords: memory computing; fusion memory; memory; memcomputing fusion ... See more keywords
Logic and in-memory computing achieved in a single ferroelectric semiconductor transistor
Sign Up to like & getrecommendations! Published in 2021 at "Science Bulletin"
DOI: 10.1016/j.scib.2021.06.020
Abstract: Abstract Exploring materials with multiple properties who can endow a simple device with integrated functionalities has attracted enormous attention in the microelectronic field. One reason is the imperious demand for processors with continuously higher performance… read more here.
Keywords: non volatile; logic memory; optoelectrical logic; memory computing ... See more keywords
SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-59121-0
Abstract: von Neumann architecture based computers isolate computation and storage (i.e. data is shuttled between computation blocks (processor) and memory blocks). The to-and-fro movement of data leads to a fundamental limitation of modern computers, known as… read more here.
Keywords: storage; logic memory; simultaneous logic; memory computing ... See more keywords
Bioresistive random access memory with an in-memory computing function based on graphene quantum dots
Sign Up to like & getrecommendations! Published in 2023 at "New Journal of Chemistry"
DOI: 10.1039/d3nj00076a
Abstract: Bioresistive random access memory with an in-memory computing function based on graphene quantum dots and soybean biomaterials is prepared. read more here.
Keywords: bioresistive random; memory memory; random access; access memory ... See more keywords
Field-free spin–orbit devices via heavy-metal alloy with opposite spin Hall angles for in-memory computing
Sign Up to like & getrecommendations! Published in 2023 at "Applied Physics Letters"
DOI: 10.1063/5.0145497
Abstract: With the advantages of high speed, low energy consumption, and non-volatility, spin–orbit devices are promising to be used in the field of in-memory computing. However, for large-scale integration, a simpler field-free switching scheme needs to… read more here.
Keywords: orbit devices; spin orbit; spin; field ... See more keywords
An In-memory-Computing DNN Achieving 700 TOPS/W and 6 TOPS/mm2 in 130-nm CMOS
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2019.2912352
Abstract: Deep neural networks (DNNs) are increasingly popular in machine learning and have achieved the state-of-the-art performance in a range of tasks. Typically, the best results are achieved using a large amount of training data and… read more here.
Keywords: 700 tops; memory computing; computing dnn; tops mm2 ... See more keywords
Reconfigurable Smart In-Memory Computing Platform Supporting Logic and Binarized Neural Networks for Low-Power Edge Devices
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2020.3030542
Abstract: Edge computing has been shown to be a promising solution that could relax the burden imposed onto the network infrastructure by the increasing amount of data produced by smart devices. However, reconfigurable ultra-low power computing… read more here.
Keywords: memory computing; memory; neural networks; binarized neural ... See more keywords
Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2023.3241750
Abstract: Matrix-Vector Multiplications (MVMs) represent a heavy workload for both training and inference in Deep Neural Networks (DNNs) applications. Analog In-memory Computing (AIMC) systems based on Phase Change Memory (PCM) has been shown to be a… read more here.
Keywords: pcm based; accuracy; analog memory; memory ... See more keywords
Enabling Energy-Efficient In-Memory Computing With Robust Assist-Based Reconfigurable Sense Amplifier in SRAM Array
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2023.3243192
Abstract: With the increasing gap between processing speed and memory bandwidth necessity for in/near-memory computing has emerged, to ensure high-performance, energy-efficient computing for data-intensive applications at the edge. This work proposes a feasible SRAM compute cache… read more here.
Keywords: memory; memory computing; energy; sense amplifier ... See more keywords
Multi-Logic Sense Amplifier (MLSA) Design for In-Memory Computing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2023.3243434
Abstract: The widely used Von Neumann architecture must move data between memory and the computation unit when performing operations, which causes a performance bottleneck. In-memory computing is an effective way to reduce the bottleneck; therefore, we… read more here.
Keywords: design memory; design; mlsa design; memory ... See more keywords