Demonstrating BrainScaleS-2 Inter-Chip Pulse-Communication using EXTOLL
Tobias Thommes (1), Sven Bordukat (1), Andreas Gr\"ubl (1), Vitali, Karasenko (1), Eric M\"uller (1), Johannes Schemmel (1) ((1), Kirchhoff-Institute for Physics, Heidelberg, Germany)

TL;DR
This paper demonstrates inter-chip pulse communication for the BrainScaleS-2 neuromorphic system using EXTOLL networking, enabling scalable neural network modeling across multiple chips with high bandwidth and low latency.
Contribution
It introduces a pulse-routing implementation and software extensions for BSS-2 to facilitate inter-chip communication using EXTOLL technology.
Findings
Successful implementation of high-bandwidth inter-chip pulse routing
Demonstration of feed-forward pulse-routing on BSS-2
Extensions to BSS-2 software stack for inter-chip communication
Abstract
The BrainScaleS-2 (BSS-2) Neuromorphic Computing System currently consists of multiple single-chip setups, which are connected to a compute cluster via Gigabit-Ethernet network technology. This is convenient for small experiments, where the neural networks fit into a single chip. When modeling networks of larger size, neurons have to be connected across chip boundaries. We implement these connections for BSS-2 using the EXTOLL networking technology. This provides high bandwidths and low latencies, as well as high message rates. Here, we describe the targeted pulse-routing implementation and required extensions to the BSS-2 software stack. We as well demonstrate feed-forward pulse-routing on BSS-2 using a scaled-down version without temporal merging.
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