Neuromorphic Computing Systems with Emerging Nonvolatile Memories: A Circuits and Systems Perspective
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Yan, B; Li, Z; Taylor, B; Li, H; Chen, Y
Published in: 2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020
August 1, 2020
The renaissance of artificial intelligence highlights the tremendous need for computational power as well as higher computing efficiency in both high performance computing and embedded applications. [1] To meet this demand, neuromorphic computing systems (NCS) that are inspired by the biological neural systems circumvent the von Neumann bottleneck by integrating computation and memory in the same place with reduced data traffic. The NCS can be efficiently implemented using emerging nonvolatile memories such as memristor crossbar arrays, which provide fast, analog matrix-vector multiplications (MVM). This paradigm is also called 'in-memory computing' or 'processing in memory'. [2]
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2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020
DOI
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9781728142326
Publication Date
August 1, 2020
Start / End Page
122 / 123
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Yan, B., Li, Z., Taylor, B., Li, H., & Chen, Y. (2020). Neuromorphic Computing Systems with Emerging Nonvolatile Memories: A Circuits and Systems Perspective. In 2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020 (pp. 122–123). https://doi.org/10.1109/VLSI-TSA48913.2020.9203744
Yan, B., Z. Li, B. Taylor, H. Li, and Y. Chen. “Neuromorphic Computing Systems with Emerging Nonvolatile Memories: A Circuits and Systems Perspective.” In 2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020, 122–23, 2020. https://doi.org/10.1109/VLSI-TSA48913.2020.9203744.
Yan B, Li Z, Taylor B, Li H, Chen Y. Neuromorphic Computing Systems with Emerging Nonvolatile Memories: A Circuits and Systems Perspective. In: 2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020. 2020. p. 122–3.
Yan, B., et al. “Neuromorphic Computing Systems with Emerging Nonvolatile Memories: A Circuits and Systems Perspective.” 2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020, 2020, pp. 122–23. Scopus, doi:10.1109/VLSI-TSA48913.2020.9203744.
Yan B, Li Z, Taylor B, Li H, Chen Y. Neuromorphic Computing Systems with Emerging Nonvolatile Memories: A Circuits and Systems Perspective. 2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020. 2020. p. 122–123.
Published In
2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020
DOI
ISBN
9781728142326
Publication Date
August 1, 2020
Start / End Page
122 / 123