Peer-reviewed paper
TNNGen: Automated Design of Neuromorphic Sensory Processing Units for Time-Series Clustering
TNNGen automates the design of neuromorphic sensory processing units for time-series clustering. The work links algorithmic TNN ideas to generated hardware and reports a design path that reduces synapse and implementation cost.
Abstract Summary
TNNGen automates the design of neuromorphic sensory processing units for time-series clustering. The work links algorithmic TNN ideas to generated hardware and reports a design path that reduces synapse and implementation cost.
Research Context
This paper contributes to my research program in TNNGen, neuromorphic hardware, ISCAS 2024. It is part of the broader work on efficient ML systems, hardware-software co-design, and deployment-aware computer architecture.