All Stories

  1. Accelerating Out-of-Core Graph Random Walk Processing via Locality-Aware Algorithm-Hardware Co-Design
  2. ATLAS: Efficient Dynamic GNN System Through Abstraction-Driven Incremental Execution
  3. SeIM: In-Memory Acceleration for Approximate Nearest Neighbor Search
  4. Rewire: Making Reconfigurable AI Chips Faster and More Efficient
  5. SPLIM: Solving the Hardware-Software Mismatch for Ultra-Fast AI Computing
  6. HyAtten: Combining Light-Speed Photonics and Digital Logic for Next-Gen AI Acceleration
  7. A ReRAM-Based Processing-In-Memory Architecture for Hyperdimensional Computing
  8. SADIMM: Overcoming the AI Memory Wall with Intelligent Near-Memory Hardware
  9. HighP: In-memory Acceleration of SpGEMM with High Bank-level Parallelism
  10. SWAT: Scalable and Efficient Window Attention-based Transformers Acceleration on FPGAs
  11. CPSAA: Accelerating Sparse Attention Using Crossbar-Based Processing-In-Memory Architecture
  12. ReHarvest: an ADC Resource-Harvesting Crossbar Architecture for ReRAM-Based DNN Accelerators
  13. ASADI: Supercharging Long-Sequence AI Models via Diagonal-Based Computing
  14. ReCSA: a dedicated sort accelerator using ReRAM-based content addressable memory
  15. ReGNN
  16. ReSMA
  17. ReSQM: Accelerating Database Operations Using ReRAM-Based Content Addressable Memory