Výsledky vyhledávání - "Shih-Hsu Huang"

Akademický článek

A High-Performance Multiply-Accumulate Unit by Integrating Additions and Accumulations Into Partial Product Reduction Process

Autor: Che-Wei Tung, Shih-Hsu Huang

Publikováno v: IEEE Access, Vol 8, Pp 87367-87377 (2020)

In this paper, we propose a low-power high-speed pipeline multiply-accumulate (MAC) architecture. In a conventional MAC, carry propagations of additions (including additions in multiplications and additions in accumulations) often lead to large power

Externí odkaz: https://doaj.org/article/89cb467ac89348c08050d5969c91bec8

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Akademický článek

Block-Based Compression and Corresponding Hardware Circuits for Sparse Activations

Autor: Yui-Kai Weng, Shih-Hsu Huang, Hsu-Yu Kao

Publikováno v: Sensors, Vol 21, Iss 22, p 7468 (2021)

In a CNN (convolutional neural network) accelerator, to reduce memory traffic and power consumption, there is a need to exploit the sparsity of activation values. Therefore, some research efforts have been paid to skip ineffectual computations (i.e.,

Externí odkaz: https://doaj.org/article/5cf53a5820af40cca4e6ee6645d2bf4d

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Akademický článek

Convolver Design and Convolve-Accumulate Unit Design for Low-Power Edge Computing

Autor: Hsu-Yu Kao, Xin-Jia Chen, Shih-Hsu Huang

Publikováno v: Sensors, Vol 21, Iss 15, p 5081 (2021)

Convolution operations have a significant influence on the overall performance of a convolutional neural network, especially in edge-computing hardware design. In this paper, we propose a low-power signed convolver hardware architecture that is well

Externí odkaz: https://doaj.org/article/a013f5617e594c0982dd87651960d11e

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