qGAMMA: A Framework for Optimal DNN Mapping on Multi-Precision Accelerators.

arXiv:2610.23222v1 Announce Type: cross Abstract: This work describes qGAMMA, a flexible framework for exploring and optimizing the mapping of mixed-precision Deep Neural Network (DNN) models onto general-purpose spatial accelerators that support a range of fi