Cross-Stage Power Prediction for the VLSI Circuits

Jun 1, 10112
A demo.
  • Advisor: Professor Yibo Lin.
  • Proposed an innovative VLSI circuit power prediction framework that integrates cross-stage circuit-transformation-aware learning.
  • Achieved a significant reduction in error rates and computation time compared to industry-leading commercial tools, verified using CircuitNet benchmarks.
  • It thus enabled effective power optimization strategies in early-stage VLSI design.
Yufan Du
Yufan Du
PhD Student

My research focuses on differentiable optimization, AI4EDA, software and hardware co-design, and compiler design.