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Zhiguo Zhu - IEEE Xplore Author Profile

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Author details

Zhiguo Zhu

Publications

2

Citations

15

Publications by Year

20212021

Co-Authors:

Meng-Fan ChangChunmeng DouYajuan HeJingjing LiQiang Li

Show All Co-Authors (11)

Zhiguo Zhu

Affiliation

University of Electronic Science and Technology of China, Chengdu, China

Publication Topics

Convolutional Neural Network,
Energy Efficiency,
Inference Accuracy,
Neural Network,
Power Consumption,
Readout Circuit,
Weight Of Parts,
Analog-to-digital Converter,
Area Overhead,
Array Size,
Artificial Intelligence Devices,
Binary Network

Publications

2

Citations

15

Publications by Year

20212021

Co-Authors:

Meng-Fan Chang
Chunmeng Dou
Yajuan He
Jingjing Li
Qiang Li

Show All Co-Authors (11)

Author's Published Works

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Showing 1-2 of 2 results

Conferences (2)

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Yuxin Zhang(2)
Xin Si(2)
Chunmeng Dou(2)
Zhiguo Zhu(2)
Sitao Zeng(2)
Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China(2)
University of Electronic Science and Technology of China, Chengdu, China(2)
Southeast University, University of Electronic Science and Technology of China, Nanjing, China(1)
National Tsing Hua University, Hsinchu, Taiwan(1)
2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)(1)
2021 IEEE International Symposium on Circuits and Systems (ISCAS)(1)
IEEE(2)
Daegu, Korea(1)
Washington DC, DC, USA(1)
Convolutional Neural Network(2)
Energy Efficiency(2)
Inference Accuracy(2)
Neural Network(2)
Power Consumption(2)

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MLFlash-CIM: Embedded Multi-Level NOR-Flash Cell based Computing in Memory Architecture for Edge AI Devices

Sitao Zeng;Yuxin Zhang;Zhiguo Zhu;Zhaolong Qin;Chunmeng Dou;Xin Si;Qiang Li

2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)

Year: 2021 | Conference Paper |

Cited by: Papers (7)

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Computing-in-Memory (CIM) is a promising method to overcome the well-known “Von Neumann Bottleneck” with computation insides memory, especially in edge artificial intelligence (AI) devices. In this paper, we proposed a 40nm 1Mb Multi-Level NOR-Flash cell based CIM (MLFlash-CIM) architecture with hardware and software co-design. Modeling of proposed MLFlash-CIM was analyzed with the consideration o...Show More

MLFlash-CIM: Embedded Multi-Level NOR-Flash Cell based Computing in Memory Architecture for Edge AI Devices

Sitao Zeng;Yuxin Zhang;Zhiguo Zhu;Zhaolong Qin;Chunmeng Dou;Xin Si;Qiang Li

2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)

Year: 2021 | Conference Paper |

A 40nm 1Mb 35.6 TOPS/W MLC NOR-Flash Based Computation-in-Memory Structure for Machine Learning

Yuxin Zhang;Sitao Zeng;Zhiguo Zhu;Zhaolong Qin;Chen Wang;Jingjing Li;Sanfeng Zhang;Yajuan He;Chunmeng Dou;Xin Si;Meng-Fan Chang;Qiang Li

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

Year: 2021 | Conference Paper |

Cited by: Papers (8)

HTML

Computation-in-memory (CIM) is a feasible method to overcome "Von-Neumann bottleneck" with high throughput and energy efficiency. In this paper, we proposed a 1Mb Multi-Level (MLC) NOR Flash based CIM (MLFlash- CIM) structure with 40nm technology node. A multi-bit readout circuit was proposed to realize adaptive quantization, which comprises a current interface circuit, a multi-level analog shift ...Show More

A 40nm 1Mb 35.6 TOPS/W MLC NOR-Flash Based Computation-in-Memory Structure for Machine Learning

Yuxin Zhang;Sitao Zeng;Zhiguo Zhu;Zhaolong Qin;Chen Wang;Jingjing Li;Sanfeng Zhang;Yajuan He;Chunmeng Dou;Xin Si;Meng-Fan Chang;Qiang Li

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

Year: 2021 | Conference Paper |

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