Results 21 to 30 of about 6,197 (262)
IEEE Access, 2021 This paper proposes a low-cost approximate dynamic ranged multiplier and describes its use during the training process on convolutional neural networks (CNNs). It has been noted that the approximate multiplier can be used in the convolution of CNN’
Hyunjin Kim, Alberto A. Del Barrio
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Quasi delay insensitive implementation of approximate multiplication
Ain Shams Engineering Journal, 2022 Asynchronous quasi delay insensitive (QDI) implementation of approximate multiplication is described in this article. We consider the array multiplier architecture for a QDI implementation.
Padmanabhan Balasubramanian +1 more
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Approximate Multiplier based on Low power and reduced latency with Modified LSB design [PDF]
E3S Web of Conferences, 2023 The devised approximation multiplier can adapt the precision and processing power needed formul triplication sat run-time based on the needs of the user. To decrease error distance, we also suggest a straight forward error compensation circuit. There are
Senthil Kumar K.K. +5 more
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Approximation of multipliers [PDF]
Proceedings of the American Mathematical Society, 1974 We note some necessary and sufficient conditions concerning norm approximation of Fourier multipliers, and give an example to show that M
Gaudry, Garth I., Inglis, Ian R.
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Approximate θ-multipliers on Banach algebras [PDF]
Surveys in Mathematics and its Applications, 2022 We show that each approximate θ-multiplier T: A ⟶ A on without order Banach algebra A is an exact θ-multiplier, and for every approximate θ-multiplier T there corresponds a unique θ-multiplier near to T. Moreover, each mapping S: A ⟶ A which is near to θ-
Abbas Zivari-Kazempour
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A High Speed Approximate Multiplier Design [PDF]
Jisuanji gongcheng, 2019 Approximate compute,as a new calculation method that effectively balances accuracy and performance,has been widely used in applications such as image processing,data mining,and multimedia technology that can tolerate a small number of computational ...
WU Dexiang, BAN Tian
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Chips, 2023 For Convolutional Neural Networks (CNNs), Depthwise Separable CNN (DSCNN) is the preferred architecture for Application Specific Integrated Circuit (ASIC) implementation on edge devices.
Jin-Jia Shang +3 more
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Comparative Study of Approximate Multipliers [PDF]
Proceedings of the 2018 Great Lakes Symposium on VLSI, 2018 Approximate multipliers are widely being advocated for energy-efficient computing in applications that exhibit an inherent tolerance to inaccuracy. However, the inclusion of accuracy as a key design parameter, besides the performance, area and power, makes the identification of the most suitable approximate multiplier quite challenging.
Mahmoud Masadeh +2 more
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Approximate Multipliers Based on New Approximate Compressors [PDF]
IEEE Transactions on Circuits and Systems I: Regular Papers, 2018 Approximate computing is an emerging trend in digital design that trades off the requirement of exact computation for improved speed and power performance. This paper proposes novel approximate compressors and an algorithm to exploit them for the design of efficient approximate multipliers.
Esposito, Darjn +4 more
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On the Design of Logarithmic Multiplier Using Radix-4 Booth Encoding
IEEE Access, 2020 This paper proposes an energy-efficient approximate multiplier which combines radix-4 Booth encoding and logarithmic product approximation. Additionally, a datapath pruning technique is proposed and studied to reduce the hardware complexity of the ...
Ratko Pilipovic, Patricio Bulic
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