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ArPCIM: An Arbitrary-Precision Analog Computing-in-Memory Accelerator With Unified INT/FP Arithmetic
IEEE Transactions on Circuits and Systems Part 1: Regular PapersAnalog Computing-in-memory (ACIM) breaks the von Neumann bottleneck and significantly improves energy efficiency by enabling parallel matrix-vector-multiplication (MVM) operations.
Zhi-Wei Zhou +8 more
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CHAOS IN A NONLINEAR ANALOG COMPUTER
International Journal of Bifurcation and Chaos, 2004We explore the chaotic behavior of a nonlinear electrical circuit constructed with simple components such as diodes and linear operational amplifiers. The circuit may be regarded as a nonlinear analog computer that gives a nearly exact solution of a particular chaotic model.
Ken Kiers +4 more
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Laplace metasurfaces for optical analog computing based on quasi-bound states in the continuum
Photonics Research, 2021DANPING PAN, LEI WAN, MIN OUYANG, WEI ZHANG, ALEXANDER A. POTAPOV, WEIPING LIU, ZIXIAN LIANG, TIANHUA FENG, AND ZHAOHUI LI Department of Electronic Engineering, College of Information Science and Technology, Jinan University, Guangzhou 510632, China ...
Danping Pan +8 more
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Applied Optics, 1976
A simple, inexpensive, all solid-state analog computer has been developed for calculating the visual range. Using an input signal from a transmissometer, the computer calculates the visual range by repeatedly solving the Allard and Koshmieder visibility laws. It is accurate to +/-2.0% for visual ranges of between 500 ft (150 m) and 5000 ft (1500 m).
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A simple, inexpensive, all solid-state analog computer has been developed for calculating the visual range. Using an input signal from a transmissometer, the computer calculates the visual range by repeatedly solving the Allard and Koshmieder visibility laws. It is accurate to +/-2.0% for visual ranges of between 500 ft (150 m) and 5000 ft (1500 m).
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Analog Computing with Microwave Networks
Global Communications ConferenceAnalog computing has been recently revived due to its potential for energy-efficient and highly parallel computations. In this paper, we investigate analog computers that linearly process microwave signals, named microwave linear analog computers (MiLACs)
Matteo Nerini, Bruno Clerckx
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IEEE Transactions on Circuits and Systems Part 1: Regular Papers
Computing in memory (CIM) has become a promising candidate to address the Von Neumann bottleneck in processors designed for data-intensive applications. In this article, we propose a resistance summation analog computing in memory (RSACIM) with accuracy ...
Jin-Kai Wang +7 more
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Computing in memory (CIM) has become a promising candidate to address the Von Neumann bottleneck in processors designed for data-intensive applications. In this article, we propose a resistance summation analog computing in memory (RSACIM) with accuracy ...
Jin-Kai Wang +7 more
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Chaos, Solitons & Fractals, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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IEEE Transactions on Circuits and Systems Part 1: Regular Papers
Reducing the power consumption of intelligence edge devices that require long standby periods is highly significant. The use of CMOS analog computing circuits for instant feature extraction and wake-up signal generation from the sensed signal has emerged
Zhang-Ming Zhu, Li-Chen Feng
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Reducing the power consumption of intelligence edge devices that require long standby periods is highly significant. The use of CMOS analog computing circuits for instant feature extraction and wake-up signal generation from the sensed signal has emerged
Zhang-Ming Zhu, Li-Chen Feng
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ARYABHAT: A Digital-Like Field Programmable Analog Computing Array for Edge AI
IEEE Transactions on Circuits and Systems Part 1: Regular PapersRecent advances in margin-propagation (MP) based approximate computing have resulted in analog computing circuits that exhibit scaling properties similar to that of digital computing circuits.
Pratik Kumar +6 more
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