All Stories

  1. Weak-MAC: Arithmetic Relaxation for Dynamic Energy-Accuracy Scaling in ConvNets
  2. Design-Space Exploration of Pareto-Optimal Architectures for Deep Learning with DVFS
  3. All-digital embedded meters for on-line power estimation
  4. Energy-performance design exploration of a low-power microprogrammed deep-learning accelerator
  5. Adaptive Convolutional Neural Networks
  6. Early bird sampling: A short-paths free error detection-correction strategy for data-driven VOS
  7. Beyond Ideal DVFS Through Ultra-Fine Grain Vdd-Hopping
  8. Ultra-Fine Grain Vdd-Hopping for energy-efficient Multi-Processor SoCs
  9. Object based modelling of hybrid electrical vehicle and power management control