The Synopsys embARC Machine Learning Inference (MLI) library provides software functions optimized for DSP-enhanced ARC EV, ARC EMxD, and ARC HS4xD processors. It enables ARC customers to efficiently develop or port data processing algorithms based on machine learning (ML) principles. Synopsys is collaborating with ITRI to develop a TVM-based NN compiler to translate the neural network model into codes that can be executed on Synopsys ARC processors. In this talk, we discuss how we integrate embARC MLI library and Synopsys DSP into TVM via Bring Your Own Codegen (BYOC) and QNN framework.
This session will be broken into two parts, a 20 minute talk followed by a 10 minute breakout session.
