6 papers
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies
Jan Vogelsang, Melissa Lober, Catherine Mia Schöfmann +7
Drawing on ideas from continuous integration, we present concepts of an automated benchmarking pipeline for high performance applications. Customization and collaboration have been…
Scalable Construction of Spiking Neural Networks using up to thousands of GPUs
Bruno Golosio, Gianmarco Tiddia, José Villamar +10
Diverse scientific and engineering research areas deal with discrete, time-stamped changes in large systems of interacting delay differential equations. Simulating such complex sys…
A flexible framework for structural plasticity in GPU-accelerated sparse spiking neural networks
James C. Knight, Johanna Senk, Thomas Nowotny
The majority of research in both training Artificial Neural Networks (ANNs) and modeling learning in biological brains focuses on synaptic plasticity, where learning equates to cha…
Constructive community race: full-density spiking neural network model drives neuromorphic computing
Johanna Senk, Anno C. Kurth, Steve Furber +18
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 mo…
Metadata practices for simulation workflows
José Villamar, Matthias Kelbling, Heather L. More +4
Computer simulations are an essential pillar of knowledge generation in science. Exploring, understanding, reproducing, and sharing the results of simulations relies on tracking an…
Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space
Johanna Senk, Espen Hagen, Sacha J. van Albada +1
Multi-electrode arrays covering several square millimeters of neural tissue provide simultaneous access to population signals such as extracellular potentials and spiking activity…