ECE 290 Seminar: Performance Bounds and Bottlenecks for Neuromorphic ML Accelerators
Engineering 2 Engineering 2 1156 High Street, Santa Cruz, CAPresenter: Jason Yik, PhD Candidate, Harvard SEAS Description: Recent research on neuromorphic accelerators has investigated their efficiency and performance benefits for machine learning (ML) inference at the edge. This talk will focus on the performance implications of the fully-on-chip, manycore-distributed memory architecture used by current neuromorphic accelerators. In conventional architectures, the roofline model is a […]