Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators. (arXiv:2204.12418v1 [cs.LG])

Reconfigurable accelerators for deep neural networks (DNNs) promise to
improve performance such as inference latency. STONNE is the first
cycle-accurate simulator for reconfigurable DNN inference accelerators which
allows for the exploration of accelerator designs and configuration space.
However, preparing models for evaluation and exploring configuration space in
STONNE is a manual developer-timeconsuming process, which is a barrier for
research. This paper introduces Bifrost, an end-to-end framework for the
evaluation and optimization of reconfigurable DNN inference accelerators.
Bifrost operates as a …

arxiv dnn dnn accelerators evaluation optimization