Universal Neural Network Acceleration via Real-Time Loop Blocking

There is a recent trend that the DNN workloads and accelerators are increasingly heterogeneous and dynamic. Existing DNN acceleration solutions fail to address these challenges because they either rely on complicated ad hoc mapping or clumpy exhaustive search. To this end, this paper first proposes a formalization model that can comprehensively describe the accelerator design space. Instead of enf...