All Stories

  1. A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
  2. Efficient Task Transfer for HLS DSE
  3. GNN-Based Performance Prediction of Quantum Optimization of Maximum Independent Set
  4. Learning to Compare Hardware Designs for High-Level Synthesis
  5. Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
  6. FlexCNN: An End-to-end Framework for Composing CNN Accelerators on FPGA
  7. OverGen: Improving FPGA Usability through Domain-specific Overlay Generation
  8. AutoDSE: Enabling Software Programmers to Design Efficient FPGA Accelerators
  9. Automated accelerator optimization aided by graph neural networks
  10. Improving GNN-based accelerator design automation with meta learning
  11. Automated Accelerator Optimization Aided by Graph Neural Networks
  12. SPA-GCN: Efficient and Flexible GCN Accelerator with Application for Graph Similarity Computation
  13. Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication
  14. AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators