Cover Image

A scalable approach to modeling on accelerated neuromorphic hardware

Neuromorphic systems open up opportunities to enlarge the explorative space for computational research. However, it is often challenging to unite efficiency and usability. This work presents the software aspects of this endeavor for the BrainScaleS-2 system, a hybrid accelerated neuromorphic hardwar...

Full description

Saved in:
Bibliographic Details
Main Authors: Müller, Eric (Author) , Arnold, Elias (Author) , Breitwieser, Oliver (Author) , Czierlinski, Milena (Author) , Emmel, Arne (Author) , Kaiser, Jakob (Author) , Mauch, Christian (Author) , Schmitt, Sebastian (Author) , Spilger, Philipp (Author) , Stock, Raphael (Author) , Stradmann, Yannik (Author) , Weis, Johannes (Author) , Baumbach, Andreas (Author) , Billaudelle, Sebastian (Author) , Cramer, Benjamin (Author) , Ebert, Falk (Author) , Göltz, Julian (Author) , Ilmberger, Joscha (Author) , Karasenko, Vitali (Author) , Kleider, Mitja (Author) , Leibfried, Aron (Author) , Pehle, Christian (Author) , Schemmel, Johannes (Author)
Format: Article (Journal)
Language:English
Published: May 2022
In: Frontiers in neuroscience
Year: 2022, Volume: 16, Pages: 1-22
ISSN:1662-453X
Online Access:Verlag, kostenfrei, Volltext: https://www.frontiersin.org/articles/10.3389/fnins.2022.884128
Get full text
Author Notes:Eric Müller, Elias Arnold, Oliver Breitwieser, Milena Czierlinski, Arne Emmel, Jakob Kaiser, Christian Mauch, Sebastian Schmitt, Philipp Spilger, Raphael Stock, Yannik Stradmann, Johannes Weis, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Falk Ebert, Julian Göltz, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Aron Leibfried, Christian Pehle and Johannes Schemmel
Description
Summary:Neuromorphic systems open up opportunities to enlarge the explorative space for computational research. However, it is often challenging to unite efficiency and usability. This work presents the software aspects of this endeavor for the BrainScaleS-2 system, a hybrid accelerated neuromorphic hardware architecture based on physical modeling. We introduce key aspects of the BrainScaleS-2 Operating System: experiment workflow, API layering, software design, and platform operation. We present use cases to discuss and derive requirements for the software and showcase the implementation. The focus lies on novel system and software features such as multi-compartmental neurons, fast re-configuration for hardware-in-the-loop training, applications for the embedded processors, the non-spiking operation mode, interactive platform access, and sustainable hardware/software co-development. Finally, we discuss further developments in terms of hardware scale-up, system usability, and efficiency.
Item Description:Published: 18 May 2022
Gesehen am 05.07.2022
Physical Description:Online Resource
ISSN:1662-453X

Similar Items