XIAOMING CHEN

ASSOCIATE PROFESSOR & DOCTORAL ADVISOR

Principal investigator of fundamental research group, Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences

国家优秀青年科学基金获得者

达摩院青橙奖得主


E-mail: chenxiaoming [at] ict [dot] ac [dot] cn

(请不要用QQ、sina、各类公共vip邮箱给我发信,尽量使用您单位的邮箱给我发信)

Office phone: 010-62600797

招生信息

本课题组每年招收约1个博士生和1-2个硕士生(特别说明:不接受外单位调剂)。

本课题组的学生主要在集成电路和体系结构设计方法学领域开展前沿研究,研究成果均发表在高水平国际会议和期刊上,相当一部分学生的本科毕设工作即发表论文,多位学生发表CCF A类论文。

我希望你是:

1.务实的人。简历、面试过程中不要过度强调获奖,应注重你做过的事情,能说清事情的意义、遇到的困难、解决思路、收获等。

2.实事求是的人。准确地表达一个项目中你参与的部分;准确地表达你独创的工作和对已有工作的使用、借鉴;谨慎使用“熟练掌握”甚至“精通”这样的词。

3.出于兴趣而从事科研,自我驱动。

在本课题组读硕/博,我希望你在毕业时成为:

1.你所从事的研究方向的专家。在这个方向上比我做的更好,对该方向的发展历史、技术方法、前沿问题具有深入的认识。

2.知识面广的学者。在所从事的研究方向之外,也要有所了解,对于未知的问题能够找到合适的入手点,探索解决思路。

3.善于表达的科技工作者。能够以合理、严谨的方式宣传自己的工作。

招生专业
081201-计算机系统结构
招生方向
存算一体体系结构,机器学习加速器,架构设计自动化,集成电路设计自动化(EDA)

HONORS AND AWARDS

2022. ASP-DAC 2022 Best Paper Award

2021. Awarded NSFC Excellent Young Scientists Fund (国家优青)

2019. Selected to join the Youth Innovation Promotion Association CAS (中国科学院青年创新促进会)

2018. Selected to join the Young Elite Scientists Sponsorship Program of China Association for Science and Technology (中国科协青年人才托举工程)

2018. DAMO Academy Young Fellow Award (达摩院青橙奖,全国9人获奖)

2016. 2015 EDAA Outstanding Dissertation Award(欧洲设计与自动化协会杰出博士论文奖,迄今大陆博士唯一获奖者)

2014. Tsinghua University Outstanding Ph.D. Dissertation Award

2014. Excellent Graduate Student of Beijing

2014. Best Paper Nomination, ASP-DAC 2014

2012. Best Paper Nomination, ASP-DAC 2012

2009. Best Paper Nomination, ISLPED 2009

2005. Silver Medal, Chinese Mathematical Olympiad (CMO, National Final Competition) 2005 (中国数学奥林匹克 全国决赛 二等奖,保送清华大学)

2004. First Prize, ranked 2nd in Jiangsu Province, National High School Mathematics Competition 2004 (全国高中数学联赛 江苏省 一等奖 入选省队)

学生获奖

李泽润,ASP-DAC 2022最佳论文奖

宋涛,国家奖学金

杨雨昕,国家奖学金

李宛茜,南开大学(校级)优秀毕业设计

张啸宇,中国科学技术大学(校级)优秀毕业设计

刘博生,北京市优秀毕业生 & 国科大优秀毕业生

刘博生,国家奖学金

刘博生,朱李月华奖

刘博生,华为博士生奖

徐晟,虑得博士生奖

宋涛,所长优秀奖学金

EXPERIENCE

2017/11-now, Institute of Computing Technology, Chinese Academy of Sciences

Associate Professor


2016/09-2017/10, University of Notre Dame

Full-Time Visiting Assistant Professor in Computer Science and Engineering. Work with Prof. X. Sharon Hu


2014/10-2016/08, Carnegie Mellon University

Postdoc Research Associate in Electrical and Computer Engineering. Work with Prof. Xin Li


2009/08-2014/07, Tsinghua University

Ph.D. in Electronic Engineering, Advisors: Prof. Huazhong Yang and Prof. Yu Wang


2005/08-2009/07, Tsinghua University

B.S. in Electronic Engineering

SELECTED PUBLICATIONS

I have published 100+ papers in top-tier conferences and journals, such as DAC, ICCAD, HPCA, IEDM, IEEE TCAD, IEEE TPDS, IEEE TCAS-I, etc.

Google scholar for my full publication list


BOOKS

[B1] Xiaoming Chen, Yu Wang, Huazhong Yang, "Parallel Sparse Direct Solver for Integrated Circuit Simulation", Springer International Publishing, 1st edition, Feb. 2017. 136 pages.


SELECTED JOURNAL PAPERS

[J9] Xiaoyu Zhang, Rui Liu, Tao Song, Yuxin Yang, Yinhe Han, Xiaoming Chen*, "Re-FeMAT: A Reconfigurable Multifunctional FeFET-based Memory Architecture", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD).

[J8] Bosheng Liu, Xiaoming Chen*, Yinhe Han, Jigang Wu, Liang Chang, Peng Liu, Haobo Xu, "Search-free Inference Acceleration for Sparse Convolutional Neural Networks", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD).

[J7] Bosheng Liu, Xiaoming Chen*, Yinhe Han, Haobo Xu, "Swallow: A Versatile Accelerator for Sparse Neural Networks", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), vol. 38, no. 12, pp. 4881-4893, Dec 2020.

[J6] Xiaoming Chen, Kai Ni, Michael Niemier, Yinhe Han, Suman Datta, Xiaobo Sharon Hu, "Power and Area Efficient FPGA Building Blocks Based on Ferroelectric FETs", IEEE Transactions on Circuits and Systems I: Regular Papers (IEEE TCAS-I), vol. 66, no. 5, pp. 1780-1793, May 2019.

[J5] Xiaoming Chen, Danny Ziyi Chen, Yinhe Han, Xiaobo Sharon Hu, "moDNN: Memory Optimal Deep Neural Network Training on Graphics Processing Units", IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), vol. 30, no. 3, pp. 646-661, March 2019.

[J4] Xiaoming Chen, Lin Wang, Yu Wang, Yongpan Liu, Huazhong Yang, "A General Framework for Hardware Trojan Detection in Digital Circuits by Statistical Learning Algorithms", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), vol.36, no.10, pp.1633-1646, Oct. 2017.

[J3] Xiaoming Chen, Lin Wang, Boxun Li, Yu Wang, Xin Li, Yongpan Liu, Huazhong Yang, "Modeling Random Telegraph Noise as a Randomness Source and its Application in True Random Number Generation", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), vol.35, no.9, pp.1435-1448, Sep. 2016.

[J2] Xiaoming Chen, Ling Ren, Yu Wang, Huazhong Yang, "GPU-Accelerated Sparse LU Factorization for Circuit Simulation with Performance Modeling", IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), vol.26, no.3, pp.786-795, March 2015.

[J1] Xiaoming Chen, Yu Wang, Huazhong Yang, "NICSLU: An Adaptive Sparse Matrix Solver for Parallel Circuit Simulation", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), vol.32, no.2, pp.261-274, Feb. 2013.


SELECTED CONFERENCE PAPERS

[C11] Xiaoming Chen, "Numerically-Stable and Highly-Scalable Parallel LU Factorization for Circuit Simulation", in 2022 International Conference On Computer Aided Design (ICCAD’22)[acceptance rate: 132/586=22.5%]

[C10] Zerun Li, Xiaoming Chen*, Yinhe Han, "GraphRing: an HMC-Ring based Graph Processing Framework with Optimized Data Movement", in 2022 Design Automation Conference (DAC'22).

[C9] Tao Song, Xiaoming Chen*, Yinhe Han, "BRAHMS: Beyond Conventional RRAM-based Neural Network Accelerators Using Hybrid Analog Memory System", in 2021 Design Automation Conference (DAC'21).

[C8] Yuxin Yang, Xiaoming Chen*, Yinhe Han, "Fast and Efficient Processing-in-Memory Accelerator for Collision Detection", in 2020 Design Automation Conference (DAC’20).

[C7] Xiaoming Chen, Yinhe Han, Yu Wang, "Communication Lower Bound in Convolution Accelerators", in 2020 International Symposium on High-Performance Computer Architecture (HPCA'20). [acceptance rate: 19.4%]

[C6] Xiaoyu Zhang, Xiaoming Chen*, Yinhe Han, "FeMAT: Exploring In-Memory Processing in Multifunctional FeFET-based Memory Array", in 2019 37th International Conference on Computer Design (ICCD'19). [long, acceptance rate: 23.8%]

[C5] Xiaoming Chen, Longxiang Yin, Bosheng Liu, Yinhe Han, "Merging Everything (ME): A Unified FPGA Architecture Based on Logic-in-Memory Techniques", in 2019 56th Design Automation Conference (DAC'19).

[C4] Xiaoming Chen, Danny Z. Chen, Xiaobo Sharon Hu, "moDNN: Memory Optimal DNN Training on GPUs", in 2018 21th Design, Automation, and Test in Europe (DATE'18). [long, acceptance rate: 23.7%]

[C3] Xiaoming Chen, Xunzhao Yin, Michael Niemier, Xiaobo Sharon Hu, "Design and Optimization of FeFET-based Crossbars for Binary Convolution Neural Networks", in 2018 21th Design, Automation, and Test in Europe (DATE'18). [long, acceptance rate: 23.7%]

[C2] Xiaoming Chen, Jianxu Chen, Danny Z. Chen, Xiaobo Sharon Hu, "Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs", in 2017 54th Design Automation Conference (DAC'17), pp.1-6, June 18-22, 2017. [acceptance rate: 160/676=23.7%]

[C1] Xiaoming Chen, Lixue Xia, Yu Wang, Huazhong Yang, "Sparsity-Oriented Sparse Solver Design for Circuit Simulation", in 2016 19th Design, Automation, and Test in Europe (DATE'16), pp.1580-1585, March 14-18, 2016. [long, acceptance rate: 199/829=24%]

SOFTWARE

  • NICSLU (mainly finished in Tsinghua University): parallel sparse direct solver for circuit simulation. NICSLU has been proven to be a high-performance solver in real circuit simulations by several leading EDA companies. The package has been adopted by several world's leading institutes, universities and companies. Some techniques have commercially been adopted in domestic EDA software. https://github.com/chenxm1986/nicslu

  • CKTSO: parallel sparse direct solver for circuit simulation. Successor of NICSLU. CKTSO has higher performance, better scalability and less memory usage than NICSLU. https://github.com/chenxm1986/cktso

  • ChaoticWeights: a simple demonstration of using chaotic methods to protect the weights of a neural network running on an accelerator, for an [IEEE TCAD 2021] paper. https://github.com/chenxm1986/ChaoticWeights

  • PIMSIM: full-system simulator for near-data architectures, built based on GEM5. https://github.com/vineodd/PIMSim

ALUMNI

Hang Xiao, PhD, now Research Staff @ Huawei 2012 Lab

Tao Song, MS, now Research Staff @ NVIDIA

Bosheng Liu, PhD, now Assistant Professor @ Guangdong University of Technology

Shiqi Lian, PhD, now Research Staff @ Meituan

Sheng Xu, PhD, now Assistant Professor @ Anhui Normal University

Co-supervised Students @ Tsinghua University

Song Yao, now Co-CEO & Co-founder @ OrienSpace

Ling Ren, now Assistant Professor @ UIUC

Qiaoyi Liu, now PhD student @ Stanford University

Gushu Li, now Assistant Professor @ University of Pennsylvania

Shuai Tao, now Research Staff @ ByteDance

Xin Li, now Research Staff @ Xilinx

Guohui Wu, now @ ???