All Stories

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