All Stories

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