- AutorIn
- Julien Vitay
- Helge Ülo Dinkelbach
- Fred Henrik Hamker
- Titel
- ANNarchy: a code generation approach to neural simulations on parallel hardware
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa-182490
- Quellenangabe
- Vitay J, Dinkelbach HÜ and Hamker FH (2015) ANNarchy: a code generation approach to neural simulations on parallel hardware. Front. Neuroinform. 9:19. doi: 10.3389/fninf.2015.00019
- Abstract (EN)
- Many modern neural simulators focus on the simulation of networks of spiking neurons on parallel hardware. Another important framework in computational neuroscience, rate-coded neural networks, is mostly difficult or impossible to implement using these simulators. We present here the ANNarchy (Artificial Neural Networks architect) neural simulator, which allows to easily define and simulate rate-coded and spiking networks, as well as combinations of both. The interface in Python has been designed to be close to the PyNN interface, while the definition of neuron and synapse models can be specified using an equation-oriented mathematical description similar to the Brian neural simulator. This information is used to generate C++ code that will efficiently perform the simulation on the chosen parallel hardware (multi-core system or graphical processing unit). Several numerical methods are available to transform ordinary differential equations into an efficient C++code. We compare the parallel performance of the simulator to existing solutions.
- Andere Ausgabe
- Link zur Originalpublikation in der Zeitschrift Frontiers in Neuroinformatics
Link: http://journal.frontiersin.org/article/10.3389/fninf.2015.00019/pdf - Freie Schlagwörter (DE)
- Python, Netzwerk, Code, Parallelrechner, Technische Universität Chemnitz, Publikationsfonds
- Freie Schlagwörter (EN)
- neural simulator, Python, rate-coded networks, spiking networks, parallel computing, code generation, Technische Universität Chemnitz, Publication funds
- Klassifikation (DDC)
- 004
- Normschlagwörter (GND)
- C++, Python, Netzwerk, Code, Parallelrechner
- Herausgeber (Institution)
- Technische Universität Chemnitz
- Verlag
- Frontiers Research Foundation, Schweiz
- URN Qucosa
- urn:nbn:de:bsz:ch1-qucosa-182490
- Veröffentlichungsdatum Qucosa
- 07.10.2015
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch