All Stories

  1. M^2 -DFU: Multi-Mode Dataflow Architecture for Adaptive and High-Efficiency Data Processing
  2. Making AI Text Generation Faster and More Energy Efficient on Mobile Devices
  3. UniNL: Unifying Fragmented Non-Linear Operators for Efficient Edge LLM Inference
  4. TOSCA: A Dataflow Architecture with Semi-Centralized Dynamic Scheduling
  5. BitRed: Taming Non-Uniform Bit-Level Sparsity with a Programmable RISC-V ISA for DNN Acceleration
  6. Compressing and Accelerating Sparse CNNs Using Sign-Reserved Toeplitz Filters and Input Activation Density-aware Dataflow
  7. DFGAS: Exploring the Balance of HW-SW Scheduling through the DFG-Aware Scheme
  8. GenCNN: A Partition-Aware Multi-Objective Mapping Framework for CNN Accelerators Based on Genetic Algorithm
  9. PANDA: A Dataflow Chip with Adaptive Prefetching and Decentralized Scheduling
  10. LeakageFreeSpec: Applying the Wiping Approach to Defend Against Transient Execution Attacks
  11. Improving Utilization of Dataflow Unit for Multi-Batch Processing.