Che-Kai Liu
Ph.D. Student @ GaTech ECE
Email: che-kai@gatech.edu
Focus: Mixed-signal VLSI and Computer Architecture.
About Me
Hello, I am a 2nd year Ph.D. student advised by Professor Arijit Raychowdhury at the Integrated Circuits and Systems Research Lab, School of Electrical and Computer Engineering, Georgia Institute of Technology. My current research focus at GaTech and TSMC is on mixed-signal physical chip and architecture design for next-generation AI workloads.
Professional Experiences
Corporate Research (CR), TSMC
Design Research Intern @ CR Design Solution Division (CRDSN)
Research focus: Design proof-of-concept large-scale SoC tapeouts with the focus on computer architecture.
Supervisor: Dr. Win-San (Vince) Khwa; Manager: Dr. M.-F. (Marvin) Chang
June 2024 - Present
Design Research Intern @ CR Design Solution Division (CRDSN)
Research focus: Design proof-of-concept large-scale SoC tapeouts with the focus on computer architecture.
Supervisor: Dr. Win-San (Vince) Khwa; Manager: Dr. M.-F. (Marvin) Chang
June 2024 - Present
Georgia Institute of Technology
Graduate Research Assistant, Electrical and Computer Engineering
Research focus: Mixed-signal circuit and architecture for next-gen AI applications.
Advisor: Steve W. Chaddick School Chair and Prof., Arijit Raychowdhury
August 2023 - Present
Graduate Research Assistant, Electrical and Computer Engineering
Research focus: Mixed-signal circuit and architecture for next-gen AI applications.
Advisor: Steve W. Chaddick School Chair and Prof., Arijit Raychowdhury
August 2023 - Present
Peer-reviewed Publications. *Equal Contributions
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Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture
Z. Wan, C.-K. Liu, H. Yang, R. Raj, C. Li, H. You, Y. Fu, C. Wan, S. Li, Y. Kim, A. Samajdar, Y. C. Lin, M. Ibrahim, J. M. Rabaey, T. Krishna, A. Raychowdhury
IEEE Transactions on Circuits and Systems for Artificial Intelligence [TCAS-AI24] -
Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI
Z. Wan, C.-K. Liu, H. Yang, R. Raj, C. Li, H. You, Y. Fu, C. Wan, A. Samajdar, Y. C. Lin, T. Krishna, A. Raychowdhury
IEEE International Symposium on Performance Analysis of Systems and Software [ISPASS24], Indianapolis, IN, USA -
H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations
Z. Wan*, C.-K. Liu*, M. Ibrahim, H. Yang, S. Spetalnick, T. Krishna, A. Raychowdhury
2024 IEEE/ACM Design Automation and Test in Europe [DATE24a], Valencia, Spain -
Benchmarking Test-Time DNN Adaptation at Edge with Compute-In-Memory
Z. Fan*, Z. Wan*, C.-K. Liu, A. Lu, K. Bhardwaj, A. Raychowdhury
2024 ACM Journal on Autonomous Transportation Systems [JATS24] -
FeReX: A Reconfigurable Design of Multi-bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search
Z. Xu, C.-K. Liu, C. Li, R. Mao, J. Yang, T. Kämpfe, M. Imani, C. Li, C. Zhuo and X. Yin
2024 IEEE/ACM Design Automation and Test in Europe [DATE24b], Valencia, Spain -
TAP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory
C. Ni, S. Chen, C.-K. Liu, L. Liu, M. Imani, T. Kämpfe, K. Ni, M. Niemier, X. S. Hu, C. Zhuo and X. Yin
2024 IEEE/ACM International Conference on Computer-aided Design [ICCAD24], NJ, USA -
In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies
H. E. Barkam, S. Yun, P. R. Genssler, C.-K. Liu, Z. Zou, H. Amrouch, M. Imani
2024 IEEE Transactions on Circuits and Systems I: Regular Papers [TCAS-I24] -
SEE-MCAM: A Scalable Multi-bit FeFET Content Addressable Memory for Energy Efficient Associative Search
S. Shou, C.-K. Liu, S. Yun, Z. Wan, K. Ni, M. Imani, X. S. Hu, J. Yang, C. Zhuo, X. Yin
2023 IEEE/ACM International Conference on Computer-aided Design [ICCAD23], San Francisco, CA, USA -
Towards Cognitive AI System: A Survey and Prospective on Neuro-symbolic AI
Z. Wan, C.-K. Liu*, H. Yang*, C. Li*, H. You*, Y. Fu, C. Wan, T. Krishna, Y. C. Lin, A. Raychowdhury
2023 Systems for Next-Gen AI Paradigms Workshop, MLSys, Miami, Florida, USA -
HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable Highly-Scaled FeFET
H. E. Barkam, S. Yun, P. R. Genssler, Z. Zou, C.-K. Liu, H. Amrouch, M. Imani
2023 IEEE/ACM Design Automation and Test in Europe [DATE23], Antwerp, Belgium -
Cosime: Fefet based Associative Memory for In-memory Cosine Similarity Search
C.-K. Liu, H. Chen, M. Imani, K. Ni, A. Kazemi, A. F. Laguna, M. Niemier, X. S. Hu, Z. Liang, C. Zhuo, X. Yin
2022 IEEE/ACM International Conference on Computer-aided Design [ICCAD22], San Diego, CA, USA
Pre-prints
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Towards Efficient Hyperdimensional Computing Using Photonics
F. Fayza, C. Demirkiran, H. Chen, C.-K. Liu, A. Mohan, H. Errahmouni, S. Yun, M. Imani, D. Zhang, D. Bunandar, A. Joshi
2023 Arxiv
Service
- 2024 IEEE/ACM ICCAD Paper Reviewer
- 2024 IEEE ISCAS Paper Reviewer
- 2023-2024 ACM JATS Paper Reviewer
- 2022-2023 IEEE JETCAS Paper Reviewer