Speaker
Description
TU Dresden has recently completed the construction of the world’s largest brain-inspired supercomputer „SpiNNcloud“, which will allow the real-time simulation of up to 5 billion neurons. It is based on the neuromorphic “SpiNNaker2” chip featuring 152 low-power ARM cores and digital accelerators to speed up the processing of spiking and deep neural networks. The overall system comprises a scalable communication infrastructure enabling the low-latency multi-cast routing of event packets such as spikes. All of this makes SpiNNaker2 a unique platform to explore large-scale brain simulation and neuro-inspired AI algorithms.
This talk will introduce the SpiNNaker2 chip and system architecture and explain how spiking neural networks are simulated in real-time. Further, we will show examples of using SpiNNaker2 for efficient event-based AI processing. Finally, we will provide an overview of the software stack (including efforts on supporting NESTML) and give an outlook on the access options for SpiNNaker2.
Acknowledgements
This work is partly supported by the following projects: EBRAINS 2.0, ESCADE, ScaDS.AI. We'd like to thank all people involved in the SpiNNaker2 hardware and software development from TU Dresden, University of Manchester, and SpiNNcloud Systems.
| Preferred form of presentation | Talk (& optional poster) |
|---|---|
| Topic area | Simulator technology and performance |
| Keywords | SpiNNaker2, Neuromorphic Hardware, Brain Simulation, Spiking Neural Networks |
| Speaker time zone | UTC+2 |
| I agree to the copyright and license terms | Yes |
| I agree to the declaration of honor | Yes |
