arXiv Open Access 2024

L2R-CIPU: Efficient CNN Computation with Left-to-Right Composite Inner Product Units

Malik Zohaib Nisar Mohammad Sohail Ibrahim Muhammad Usman Jeong-A Lee

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Abstrak

This paper proposes a composite inner-product computation unit based on left-to-right (LR) arithmetic for the acceleration of convolution neural networks (CNN) on hardware. The efficacy of the proposed L2R-CIPU method has been shown on the VGG-16 network, and assessment is done on various performance metrics. The L2R-CIPU design achieves 1.06x to 6.22x greater performance, 4.8x to 15x more TOPS/W, and 4.51x to 53.45x higher TOPS/mm2 than prior architectures.

Topik & Kata Kunci

cs.AR

Penulis (4)

Malik Zohaib Nisar

Mohammad Sohail Ibrahim

Muhammad Usman

Jeong-A Lee

Format Sitasi

APA MLA BibTeX

Nisar, M.Z., Ibrahim, M.S., Usman, M., Lee, J. (2024). L2R-CIPU: Efficient CNN Computation with Left-to-Right Composite Inner Product Units. https://arxiv.org/abs/2406.00360

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓