TY  - EJOUR
AU  - Senk, Johanna
AU  - Kurth, Anno C.
AU  - Furber, Steve
AU  - Gemmeke, Tobias
AU  - Golosio, Bruno
AU  - Heittmann, Arne
AU  - Knight, James C.
AU  - Müller, Eric
AU  - Noll, Tobias
AU  - Nowotny, Thomas
AU  - Coppola, Gorka Peraza
AU  - Peres, Luca
AU  - Rhodes, Oliver
AU  - Rowley, Andrew
AU  - Schemmel, Johannes
AU  - Stadtmann, Tim
AU  - Tetzlaff, Tom
AU  - Tiddia, Gianmarco
AU  - van Albada, Sacha J.
AU  - Villamar, José
AU  - Diesmann, Markus
TI  - Constructive community race: full-density spiking neural network model drives neuromorphic computing
JO  - arXiv
PB  - arXiv
M1  - FZJ-2025-02733
PY  - 2025
AB  - The local circuitry of the mammalian brain is a focus of the search for generic computational principles because it is largely conserved across species and modalities. In 2014 a model was proposed representing all neurons and synapses of the stereotypical cortical microcircuit below $1\,\text{mm}^2$ of brain surface. The model reproduces fundamental features of brain activity but its impact remained limited because of its computational demands. For theory and simulation, however, the model was a breakthrough because it removes uncertainties of downscaling, and larger models are less densely connected. This sparked a race in the neuromorphic computing community and the model became a de facto standard benchmark. Within a few years real-time performance was reached and surpassed at significantly reduced energy consumption. We review how the computational challenge was tackled by different simulation technologies and derive guidelines for the next generation of benchmarks and other domains of science.
KW  - Performance (cs.PF) (Other)
KW  - Distributed, Parallel, and Cluster Computing (cs.DC) (Other)
KW  - FOS: Computer and information sciences (Other)
LB  - PUB:(DE-HGF)25
DO  - DOI:10.48550/arXiv.2505.21185
UR  - https://juser.fz-juelich.de/record/1043040
ER  -