Data flow synthesizer for SNN analysis on resource-constrained neuromorphic hardware.
DFSynthesizer is based on the paper "Compiling Spiking Neural Networks to Neuromorphic Hardware", appeared at 21st ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES) 2020, London, UK
This tool is developed as part of the National Science Foundation (NSF) and Defense Advanced Research Projects Agency (DARPA) joint program on Real-time Machine Learning (RTML).
To obtain a copy, please send an email to anup DOT das AT drexel DOT edu with your affiliation and we will send a copy of the tool!