| Popis: |
Mapping of large systems/computations on multiple chips/multiple cores needs sophisticated compilation methods. In this demonstration, we present our compiler tools for multi-chip and multi-core systems that considers communication architecture and the related constraints for optimal mapping. Specifically, we demonstrate compilation methods for multi-chip connected with ring topology, and multi-core connected with mesh topology, assuming fine-grained reconfigurable cores, as well as generalization techniques for large problems size as convolutional neural networks. We will demonstrate our mappings methods starting from data-flow graphs (DFGs) and equations, specifically with applications to convolutional neural networks (CNNs) for convolution layers as well as fully connected layers. |
