Hai Li

Li

Professor in the Department of Electrical and Computer Engineering

Research Interests:

Neuromorphic computing systems
Machine learning acceleration and trustworthy AI
Emerging memory technologies, circuit, and architecture
Low power circuits and systems

Appointments and Affiliations

  • Professor in the Department of Electrical and Computer Engineering
  • Professor of Computer Science

Contact Information

  • Office Location: Rm130 Hudson Hall, 100 Science Dr., Durham, NC 27701
  • Office Phone: (919) 660-1373
  • Email Address: hai.li@duke.edu
  • Websites:

Education

  • Ph.D. Purdue University, 2004

Research Interests

Neuromorphic computing systems
Machine learning acceleration and trustworthy AI
Emerging memory technologies, circuit and architecture
Low power circuits and systems

Awards, Honors, and Distinctions

  • Best Paper Award for the paper titled “Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses”. Asia and South Pacific Design Automation Conference (ASPDAC). 2017
  • Fulton C. Noss Faculty Fellow. University of Pittsburgh. 2016
  • Best Paper Award for the paper titled “Quantitative Modeling of Racetrack Memory - A Tradeoff among Area, Performance, and Power”. Asia and South Pacific Design Automation Conference (ASPDAC). 2015
  • Air Force Summer Faculty Fellowship Program Award (AF-SFFP). AFRL/RITC. 2015
  • Best Paper Award for the paper titled “A Weighted Sensing Scheme for ReRAM-based Cross-point Memory Array”. IEEE Computer Society Annual Symposium on VLSI (ISVLSI). 2014
  • Best Paper Award for the paper titled “Coordinating Prefetching and STT-RAM based Last-level Cache Management for Multicore Systems”. Proceedings of the 23rd ACM International Conference on Great Lakes Symposium on VLSI (GLSVLSI). 2013
  • Air Force Visiting Faculty Research Program (VFRP) Fellowship. AFRL/RIB. 2013
  • DARPA Young Faculty Award. Defense Advanced Research Projects Agency (DARPA). 2013
  • NSF Career Award. National Science Foundation (NSF). 2012
  • Air Force Summer Faculty Fellowship Program Award (AF-SFFP). AFRL/RITC. 2011
  • Best Paper Award for the paper titled “Combined Magnetic- and Circuit-level Enhancements for the Nondestructive Self-Reference Scheme of STT-RAM”. ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED). 2010
  • Best Paper Award for the paper titled “Design Margin Exploration of Spin-Torque Transfer RAM (SPRAM)”. the 9th International Symposium on Quality Electronic Design (ISQED). 2008

Courses Taught

  • ECE 292: Projects in Electrical and Computer Engineering
  • ECE 391: Projects in Electrical and Computer Engineering
  • ECE 590: Advanced Topics in Electrical and Computer Engineering
  • ECE 891: Internship
  • ECE 899: Special Readings in Electrical Engineering

In the News

Representative Publications

  • Joardar, BK; Doppa, JR; Pande, PP; Li, H; Chakrabarty, K, AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture, Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 40 no. 5 (2021), pp. 971-984 [10.1109/TCAD.2020.3013194] [abs].
  • Yang, Q; Li, H, BitSystolic: A 26.7 TOPS/W 2b8b NPU with Configurable Data Flows for Edge Devices, Ieee Transactions on Circuits and Systems I: Regular Papers, vol 68 no. 3 (2021), pp. 1134-1145 [10.1109/TCSI.2020.3043778] [abs].
  • Zhang, S; Li, HH; Schlichtmann, U, Connection-based Processing-In-Memory Engine Design Based on Resistive Crossbars, Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac (2021), pp. 107-113 [10.1145/3394885.3431523] [abs].
  • Liu, X; Mao, M; Bi, X; Li, H; Chen, Y, Exploring Applications of STT-RAM in GPU Architectures, Ieee Transactions on Circuits and Systems I: Regular Papers, vol 68 no. 1 (2021), pp. 238-249 [10.1109/TCSI.2020.3031895] [abs].
  • Li, Z; Li, B; Fan, Z; Li, H, RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation, Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 39 no. 12 (2020), pp. 4736-4747 [10.1109/TCAD.2020.2981055] [abs].