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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