Michael Lui

Mike Lui

Education

Ph.D. in Computer Engineering, 2014 - Present

Drexel University, Philadelphia, Pennsylvania

B.S. and M.S. in Computer Engineering, 2012

Drexel University, Philadelphia, Pennsylvania

Research Interests

• Workload Profiling Techniques
• Hardware-Software Co-Design
• Heterogeneous Computer Architecture
• Low-power Embedded Systems and Internet-of-Things devices

Academic Interests

• Education
• Fonts, formatting, and data visualization
• Human-Computer Interaction
• 3D Graphics

Resume

Michael Lui CV (2020)

Publications

1. M. Lui, K. Sangaiah, M. Hempstead, and B. Taskin, "Towards Cross-Framework Workload Analysis via Flexible Event-Driven Interfaces", IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Belfast, Northern Ireland, April 2018.
2. K. Sangaiah, M. Lui, R. Jagtap, S. Diestelhorst, S. Nilakantan, A. More, B. Taskin, and M. Hempstead, "SynchroTrace: Synchronization-aware Architecture-agnostic Traces for Light-Weight Multicore Simulation of CMP and HPC Workloads", ACM Transactions on Architecture and Code Optimization (TACO), April 2018.
3. V. Pano, S. Lerner, I. Yilmaz, M. Lui, and B. Taskin, "Workload-Aware Routing (WAR) for Network-on-Chip Lifetime Improvement," Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, May 2018.
4. A. Hankin, T. Shapira, K. Sangaiah, M. Lui, and M. Hempstead, "Evaluation of Non-Volatile Memory based Last Level Cache given Modern Use Case Behavior", IEEE International Symposium on Workload Characterization (IISWC), Orlando, Florida, November 2019.
5. K. Sangaiah, M. Lui, R. Kuttappa, B. Taskin, and M. Hempstead, "SnackNoC: Processing in the Communication Layer", Proceedings of the IEEE International Symposium on High-Performance Computer Architecture (HPCA), February 2020
6. M. Lui, Y. Yetim, Ö. Özkan, Z. Zhao, S. Tsai, C. Wu, M. Hempstead, “Understanding Capacity-Driven Scale-Out Neural Recommendation Inference”, https://arxiv.org/abs/2011.02084, Arxiv, November 2020

Tutorials

• SIGIL - workload analysis tools and techniques for hardware-software co-design
  • 2016, IEEE International Symposium on Workload Characterization (IISWC '16), Providence, RI
  • 2015, IEEE International Conference on Computer Design (ICCD '15), New York, NY
  • 2015, IEEE International Symposium on Workload Characterization (IISWC '15), Atlanta, GA
  • 2015, IEEE Symposium on High Performance Computer Architecture (HPCA '15), San Francisco, CA

Posters

• Simplifying Workload Analysis
  • 2017, ARM Research Summit, Cambridge, UK

Teaching

• 2020-2021 Academic Year
  • TA ECEC-201: Advanced Programming for Engineers (Intro to C)
• 2019-2020 Academic Year
  • Internship at Facebook AI Infrastructure
• 2018-2019 Academic Year
  • TA ECEC-201: Advanced Programming for Engineers (Intro to C)
  • TA ECE-105: Programming for Engineers II (Scientific Computing with Python)
• 2017-2018 Academic Year
  • TA ECE-200: Digital Logic Design
• 2016-2017 Academic Year
  • Instructor ECEC-353: Systems Programming
  • TA ECEC-302: Digital Systems Projects
  • TA ECEC-355: Computer Architecture
  • TA ECEC-357: Introduction to Computer Networks
• 2015-2016 Academic Year
  • Instructor ECEC-353: Systems Programming
  • TA ECEC-356: Embedded Systems
  • TA ECEC-355: Computer Architecture
  • TA ECEL-304: ECE Lab 4
• 2014-2015 Academic Year
  • TA ENGR-201: Evaluation and Presentation of Experimental Data I
  • TA ENGR-231: Linear Engineering Systems
  • TA ENGR-202: Evaluation and Presentation of Experimental Data II
  • TA ENGR-232: Dynamic Engineering Equations

Contact Information

Address:
3141 Chestnut Street
Department of ECE
Drexel University
Bossone 405
Philadelphia, PA 19104

Email: mikelui@drexel.edu

Drexel: drexel.edu

Linkedin: in/mikelui

GitHub: git.io/mikelui

Website: mikelui.io