All Stories

  1. Move the Roof: Model-driven Methodology for Designing Efficient Deep Learning Architectures
  2. Simulation of Quantum Computers: Review and Acceleration Opportunities
  3. Scratchpad Memory Management for Deep Learning Accelerators
  4. Fusing Depthwise and Pointwise Convolutions for Efficient Inference on GPUs
  5. DNNOPT: A Framework for Efficiently Selecting On-chip Memory Loop Optimizations of DNN Accelerators
  6. An Efficient Hybrid Deep Learning Accelerator for Compact and Heterogeneous CNNs
  7. Approx-RM: Reducing Energy on Heterogeneous Multicore processors under Accuracy and Timing Constraints
  8. VEDLIoT
  9. ARADA
  10. FiBHA: Fixed Budget Hybrid CNN Accelerator
  11. VSA: A Hybrid Vector-Systolic Architecture
  12. Task-RM: A Resource Manager for Energy Reduction in Task-Parallel Applications under Quality of Service Constraints
  13. SaC
  14. SLOOP
  15. Viterbi Accelerator for Embedded Processor Datapaths
  16. Cyclic Redundancy Checking (CRC) Accelerator for the FlexCore Processor