4 papers
NUMA balancing hampering performance of spiking network simulations
Melissa Lober, Alp Inangu, Gorka Peraza Coppola +9
Computing centers today mostly operate conventional CPU- and GPU-based systems, where the direct way of decreasing energy consumption is a reduction in the applications' runtime. N…
Exploiting network topology in brain-scale simulations of spiking neural networks
Melissa Lober, Markus Diesmann, Susanne Kunkel
Simulation code for conventional supercomputers serves as a reference for neuromorphic computing systems. The present bottleneck of distributed large-scale spiking neuronal network…
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…
Learning sequence timing and control of replay speed in networks of spiking neurons
Melissa Lober, Younes Bouhadjar, Markus Diesmann +1
Processing sequential inputs is a fundamental brain function, underlying tasks such as sensory perception, language, and motor control. A challenge in sequence processing is to rep…