Exploring Data Driven Offline Optimization For Architecting Hardware Accelerators

Exploring Data Driven Offline Optimization For Architecting Hardware Accelerators reveals several interesting facts.

  • Deep neural networks (DNNs) can be efficiently executed on dataflow
  • Presenter Shreyas Ravishankar AI
  • This video is #10 in the Adaptive Experimentation series presented at the 18th IEEE Conference on eScience in Salt Lake City, UT ...
  • Intro to massive parallel
  • [LATTE 22] #5: Design Space Description Language for Automated and Comprehensive Exploration of Next-Gen

In-Depth Information on Data Driven Offline Optimization For Architecting Hardware Accelerators

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