Bonan Yan 燕博南 PKU · IAI · CIM/AGI SILICON
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Assistant Professor Institute for Artificial Intelligence · Peking University

Bonan Yan

燕博南 Ph.D. · Compute-in-Memory · AGI Processor Silicon

Assistant Professor, Institute for Artificial Intelligence, Peking University.

Portrait of Bonan Yan
Bonan Yan, Ph.D. 燕博南
U1

About

WL01 · BL00 · DIE 01

Prof. Bonan Yan (燕博南), Ph.D. is an Assistant Professor at Institute for Artificial Intelligence, Peking University. He received his Ph.D. degree in Electrical and Computer Engineering from Duke University in 2020. His research focuses on artificial general intelligence processor chip design and integrated circuits design for emerging memory and computing-in-memory—primarily targeting at SRAM, RRAM, MRAM, PCM, flexible electronics, and monolithic 3D integration.

He has published papers in international journals and conferences, including Nature, Nature Electronics, Nature Communications, ISSCC, IEDM and DAC. He was awarded the ACM SIGDA Outstanding New Faculty Award in 2024 and the CCF-Huawei Populus Euphratica Forest Fund Outstanding Proposal Award in Memory Systems from China Computer Federation (CCF). He serves as a TPC member for DAC, DATE, EDTM, etc..

His team developed a digital SRAM-based computing-in-memory AI processor chip. He is a co-inventor of a WASM hardware accelerator processor and a fully-flexible compute-in-memory LSI chip.

U2

Research Interests

WL02 · BL01 · 2 BLOCKS
Block 01 / Memory

Processing-In-Memory Circuits and Systems

Circuit Design, Domain-Specific/General Architecture

chips

SRAMRRAM PCMMRAM
Block 02 / Intelligence

Artificial General Intelligent (AGI) Processors

Perception, Reasoning, Cognition, Massive Multi-Agents Reinforcement Learning

chips

Deep LearningLLM Computer VisionProbabilitic Computing
U3

Education

WL03 · BL02 · 3 ENTRIES
  • ED-012017.8 – 2020.11

    Ph.D. in Electrical & Computer Engineering

    Duke University

    Advisors: Prof. Hai Li, Prof. Yiran Chen

  • ED-022014.8 – 2017.4

    M.S. in Electrical Engineering

    University of Pittsburgh · Pittsburgh, PA, USA

    Advisors: Prof. Hai Li, Prof. Yiran Chen

  • ED-032010.9 – 2014.7

    B.S. in Electrical & Information Engineering

    Beihang University · Beijing, China

    Undergraduate Research Advisor: Prof. Weisheng Zhao

U4

Work Experience

WL04 · BL03 · 1 ENTRY
  • WK-012020.11 – Present

    Tenure-Track Assistant Professor

    Peking University

    AGI ProcessorVLSI DesignComputer ArchitectureHardware Cognitive Architecture
U5

Awards

WL05 · BL04 · 11 ITEMS
  1. AW-01

    ACM SIGDA Outstanding New Faculty Award

    Association for Computing Machinery (ACM)

    Jun. 2024
  2. AW-02

    DATE Outstanding Reviewer Award

    Design, Automation and Test in Europe Conference (DATE)

    Mar. 2025
  3. AW-03

    Peking University Weiming Young Fellow

    Peking University Education Foundation

    Jan. 2024
  4. AW-04

    Peking University Boya Young Fellow

    Peking University

    Oct. 2023
  5. AW-05

    CCF-Huawei Huyanglin Fund Outstanding Project Award

    China Computer Federation (CCF)

    May 2022
  6. AW-06

    Teaching Achievement Award, Second Prize

    Peking University

    Oct. 2025
  7. AW-07

    Outstanding Case in Undergraduate Curriculum Development for AI-Integrated Majors

    Peking University

    Top 20% · Oct. 2025
  8. AW-08

    2024 Undergraduate Teaching Reform Project (Outstanding Grade)

    Peking University

    Apr. 2025
  9. AW-09

    Outstanding Tutor Award

    International Symposium of Integrated Circuits (ISIC)

    Jul. 2023
  10. AW-10

    Teaching Contest for Young Faculties, Second Prize

    Peking University · Science and Technology Track

    Mar. 2023
  11. AW-11

    Best Teaching Demonstration Award

    Peking University

    Mar. 2023

11 / 11 items · verbatim CV order

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Teaching

WL06 · BL05 · 5 COURSES

Undergraduate

Graduate

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Publications

WL07 · BL06 · 61 CELLS
Memory array 61 × 1 Wordlines 38 Select a venue wordline to program the feed — ALL —

Venue wordlines

Cell feed

Showing 61 / 61 Wordline: all

End of array · 61 cells · titles & full author lists all present in the DOM

U8

Software

WL08 · BL07 · 3 PROJECTS
SW-01 · Open source

PISLB

open-source PIM macro Verilog/Chisel behavioral model library

bonany.gitlab.io/pis/
SW-02 · LLM accelerator

AttentionLego

vanilla self-attention block for large language model accelerators

bonany.cc/attentionlego/
SW-03 · Probabilistic circuits

Pyjuice

probabilistic circuits — Beihang University, Beijing, China (collaboration with Dr. Anji Liu)

liuanji.github.io
U9

Hints

WL09 · BL08 · 3 NOTES
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Group

WL10 · BL09 · 3 × 3 MACRO ARRAY

Current Group Members · 9

2021Ph.D. career starts in

Wenshuo Yue

memristor-based compute-in-memory for graph processing

2022Ph.D. career starts in

Anjunyi Fan

SRAM compute-in-memory microarchitecture

2022Ph.D. career starts in

Daijing Shi

RRAM compute-in-memory IC design

2023Ph.D. career starts in

Yihan Fu

probabilistic computing IC Design

2023Ph.D. career starts in

Hongxiao Zhao

cognitive architecture processor

2024Ph.D. career starts in

Qiuping Wu

WASM processor

2024Ph.D. career starts in

Juchen Zhou

intelligent sensing & processing

2025Ph.D. career starts in

Jiayi Li

reinforcement learning processor

2025Ph.D. career starts in

Jiaqi Yang

3D integrated circuit design & architecture

2027
Full
Recruit

The enrollment quota for recruit in 2027 is full

U11

Advice · 给同学的建议

WL11 · BL10 · 中文

本科一年级或以下

请认真上课。

本科二年级

想体验research的二年级同学，建议在大二下（春季学期）五一假之前联系我，可以立项「本研训练项目」。

本科三年级

欢迎想保研的同学来陶瓷，陶瓷信发这里bonanyan[at]pku[dot]edu[dot]cn，告诉我你有多强+想研究的方向。据往年经验竞争会比较激烈，请务必在三年级尽早联系，越早越好。我的考核方式是会分配一个小的project一起研究一下，这个过程来双向选择一下。

招生标准

有兴趣Criterion 01

花大量时间在研究（学习、适应、思考、动手）上

有进展Criterion 02

以隔周为单位，有显著进展；肯下手一点一点实现（所谓的「keep your hands dirty」），而不是只想不做

有交流Criterion 03

遇到极小困难自己google，遇到小到中等困难自己解决，遇到重大困难第一时间跟我说一起寻求解决方案；我平常杂事比较多，需要每周催我排时间和你一对一meet

有想法Criterion 04

遇到困难，从最naive到最花里胡哨可以提出各种可能的解决方案，实在手足无措的时候才算是「重大困难」（重大困难一定要尽早约我一对一meet讨论解决方案）

本科四年级

本科四年级是工作或者读研第0年，一定要珍惜可以加油的机会！去跟着未来老板或导师学习吧

硕士研究生同学

在导师明确同意的情况下，欢迎研究生同学来找我一起research，邮件我你的情况bonanyan[at]pku[dot]edu[dot]cn。

怎么确定我喜欢您的研究兴趣？

我的研究的重要性总体逻辑：存算一体通用人工智能芯片。先读一下这两篇文章，看看是不是喜欢：我写的一篇综述、一篇经典文章。再看一下我这里的两个demo，看看是不是有自己想做一套的冲动：RRAM CIM Chip Demo、SRAM CIM Chip Demo

Read 01我写的一篇综述 Read 02一篇经典文章 Demo 01RRAM CIM Chip Demo Demo 02SRAM CIM Chip Demo

组内正在进行的工作方向

Cognitive Architecture Processor Massive Multi-Agent Simulation Processor Probabilistic Circuits ASIC Processor RRAM Compute-In-Memory Design Digital SRAM Compute-In-Memory Design
U12

Contact

WL12 · BL11 · CIM READOUT

Compute-in-memory readout IDLE · operands in cells

Email operands (obfuscated at rest)

bonanyan[at] pku[dot] edu[dot] cn

Result register— — — — —

External Google Scholar scholar.google.com/citations?user=oN9gwMIAAAAJ&hl=en

Postal / affiliation

Institute for Artificial Intelligence
Peking University

Prospective Ph.D. and undergraduate applicants: read U11 · Advice first — the 2027 enrollment quota is full.