Extending BrainScaleS OS for BrainScaleS-2

2020/03/30 by Eric Müller, Müller, Eric, Christian Mauch +13 · 2 citations
Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Neural and Evolutionary Computing (cs.NE) #Neuroscience and Neural Engineering

paper · pdf · doi:10.48550/arxiv.2003.13750

openalex publication_date 2020/03/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

BrainScaleS-2 is a mixed-signal accelerated neuromorphic system targeted for research in the fields of computational neuroscience and beyond-von-Neumann computing. To augment its flexibility, the analog neural network core is accompanied by an embedded SIMD microprocessor. The BrainScaleS Operating System (BrainScaleS OS) is a software stack designed for the user-friendly operation of the BrainScaleS architectures. We present and walk through the software-architectural enhancements that were introduced for the BrainScaleS-2 architecture. Finally, using a second-version BrainScaleS-2 prototype we demonstrate its application in an example experiment based on spike-based expectation maximization.

Citations

• PyTorch: An Imperative Style, High-Performance Deep Learning Library

Cited by

• hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware
• Surrogate gradients for analog neuromorphic computing

Related

• The Operating System of the Neuromorphic BrainScaleS-1 System
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• Demonstrating the Advantages of Analog Wafer-Scale Neuromorphic Hardware