LAUSR

Pod-racing: bulk-bitwise to floating-point compute in racetrack memory for machine learning at the edge

Sign Up to like & get
recommendations!
2 Published in 2022 at "IEEE Micro"

DOI: 10.1109/mm.2022.3195761

Abstract: Convolutional neural networks (CNNs) have become a ubiquitous algorithm with growing applications in mobile and edge settings. We describe a compute-in-memory (CIM) technique called POD-RACING using Racetrack memory (RM) to accelerate CNNs for edge systems.… read more here.

Keywords: bulk bitwise; racetrack memory; pod; pod racing ... See more keywords