All Stories

  1. PriorMSM: An Efficient Acceleration Architecture for Multi-Scalar Multiplication
  2. HMNTT: A Highly Efficient MDC-NTT Architecture for Privacy-preserving Applications
  3. Aries: A DNN Inference Scheduling Framework for Multi-core Accelerators
  4. Can Large Language Models Be Good Companions?
  5. FullSparse: A Sparse-Aware GEMM Accelerator with Online Sparsity Prediction
  6. D 3 PBO: D ynamic D omain D ecomposition based P arallel B aye...
  7. MACRO: Multi-agent Reinforcement Learning-based Cross-layer Optimization of Operational Amplifier
  8. Yield Optimization for Analog Circuits over Multiple Corners via Bayesian Neural Network: Enhancing Circuit Reliability under Environmental Variation
  9. CASES
  10. TPNoC: An Efficient Topology Reconfigurable NoC Generator
  11. Guest Editor's Introduction: Machine Learning for VLSI Physical Design
  12. GraphPlanner: Floorplanning with Graph Neural Network
  13. Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear
  14. ESPSim: An Efficient Scalable Power Grid Simulator Based on Parallel Algebraic Multigrid
  15. Efficient Layout Hotspot Detection via Neural Architecture Search
  16. LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces
  17. Floorplanning with graph attention
  18. Do Smart Glasses Dream of Sentimental Visions?
  19. A Robust Batch Bayesian Optimization for Analog Circuit Synthesis via Local Penalization
  20. An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis
  21. Efficient performance modeling via Dual-Prior Bayesian Model Fusion for analog and mixed-signal circuits
  22. Efficient performance modeling of analog integrated circuits via kernel density based sparse regression
  23. Subspace Trajectory Piecewise-Linear Model Order Reduction for Nonlinear Circuits
  24. Improved tangent space based distance metric for accurate lithographic hotspot classification