Data Orchestration in Deep Learning Accelerators
Available
This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. The End of Moore''s Law, coupled with the increasing growth in deep learning and other AI applications has led to the emergence of custom Deep Neural Network (DNN) accelerators for energy-efficient inference on edge devices. Modern DNNs have millions of hyper parameters and involve billions of co...
Read more
This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. The End of Moore''s Law, coupled with the increasing growth in deep learning and other AI applications has led to the emergence of custom Deep Neural Network (DNN) accelerators for energy-efficient inference on edge devices. Modern DNNs have millions of hyper parameters and involve billions of co...
Read more
Follow the Author
