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About this paper
Krishna Kant Singh, Charl Linssen, Eric Müller, Eleni Mathioulaki, Wouter Klijn, Lena Oden
The authors present a workflow for spiking neural networks across high-performance computing (HPC) systems and SpiNNaker. A notebook submits jobs through PyUNICORE and NMPI, while Apptainer containers pin HPC software and NESTML generates backend-specific code for models. The balanced network ran on JUSUF, Galileo100, and SpiNNaker-1; HPC firing rates matched within random-seed noise, but cross-paradigm numerical agreement is not claimed.
Summary by alphaXiv.
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