Track 13: Machine Learning for Energy-efficient, Reliable Manycore Interconnects

Amey Kulkarni, NVIDIA Inc., USA

Topics of Interest:

The topics of interest of the track include, but are not limited to:

  • ML for energy-efficient on-chip interconnects
  • ML for reliable on-chip interconnects
  • ML algorithms for predictive decision models
  • ML for energy-aware DV/DF scaling in NoCs