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