2021
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
ICLR 2021poster
For deep neural network accelerators, memory movement is both energetically expensive and can bound computation. Therefore, optimal mapping of tensors to memory hierarchies is critical to performance. The growing complexity of neural networks calls for automated memory mapping instead of manual heur…