Susanne Kunkel

According to our database, Susanne Kunkel authored at least 18 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers.

Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel

Parallel Comput., 2022

A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations.

Jasper Albers, Jari Pronold, Anno Christopher Kurth, Stine Brekke Vennemo, Kaveh Haghighi Mood, Alexander Patronis, Dennis Terhorst, Jakob Jordan, Susanne Kunkel, Tom Tetzlaff, Markus Diesmann, Johanna Senk

Frontiers Neuroinformatics, 2022

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density.

Agnes Korcsak-Gorzo, Charl A. P. Linssen, Jasper Albers, Stefan Dasbach, Renato C. Duarte, Susanne Kunkel, Abigail Morrison, Johanna Senk, Jonas Stapmanns, Tom Tetzlaff, Markus Diesmann, Sacha J. van Albada

CoRR, 2022

2020

Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions.

Jakob Jordan, Moritz Helias, Markus Diesmann, Susanne Kunkel

Frontiers Neuroinformatics, 2020

2019

Modular Supercomputing for Neuroscience.

Estela Suarez, Susanne Kunkel, Anne Küsters, Hans Ekkehard Plesser, Thomas Lippert

Proceedings of the Brain-Inspired Computing - 4th International Workshop, 2019

2018

Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models.

Robin Pauli, Philipp Weidel, Susanne Kunkel, Abigail Morrison

Frontiers Neuroinformatics, 2018

Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.

Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel

Frontiers Neuroinformatics, 2018

Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.

Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel

Frontiers Neuroinformatics, 2018

2017

The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code.

Susanne Kunkel, Wolfram Schenck

Frontiers Neuroinformatics, 2017

2015

Simulation technology for plastic neuronal networks on high-performance computers

Susanne Kunkel

PhD thesis, 2015

A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations.

Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Matthias Bolten, Andreas Frommer, Markus Diesmann

Frontiers Neuroinformatics, 2015

Including Gap Junctions into Distributed Neuronal Network Simulations.

Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Itaru Kitayama, Brian J. N. Wylie, Matthias Bolten, Andreas Frommer, Markus Diesmann

Proceedings of the Brain-Inspired Computing - Second International Workshop, 2015

2014

Spiking network simulation code for petascale computers.

Susanne Kunkel, Maximilian Schmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann, Moritz Helias

Frontiers Neuroinformatics, 2014

2013

Integrating Brain Structure and Dynamics on Supercomputers.

Sacha J. van Albada, Susanne Kunkel, Abigail Morrison, Markus Diesmann

Proceedings of the Brain-Inspired Computing - International Workshop, 2013

2012

Supercomputers Ready for Use as Discovery Machines for Neuroscience.

Moritz Helias, Susanne Kunkel, Gen Masumoto, Jun Igarashi, Jochen Martin Eppler, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann

Frontiers Neuroinformatics, 2012

2011

Meeting the Memory Challenges of Brain-Scale Network Simulation.

Susanne Kunkel, Tobias C. Potjans, Jochen M. Eppler, Hans Ekkehard Plesser, Abigail Morrison, Markus Diesmann

Frontiers Neuroinformatics, 2011

2010

A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations.

Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, Abigail Morrison, Markus Diesmann

Frontiers Neuroinformatics, 2010

Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks.

Susanne Kunkel, Markus Diesmann, Abigail Morrison

Frontiers Comput. Neurosci., 2010