Computer Science > Distributed, Parallel, and Cluster Computing
arXiv:2406.17049 (cs)
[Submitted on 24 Jun 2024 (v1), last revised 12 Jul 2024 (this version, v2)]
Title:Fast Switching Serial and Parallel Paradigms of SNN Inference on Multi-core Heterogeneous Neuromorphic Platform SpiNNaker2
Authors:Jiaxin Huang,Bernhard Vogginger,Florian Kelber,Hector Gonzalez,Klaus Knobloch,Christian Georg Mayr
View a PDF of the paper titled Fast Switching Serial and Parallel Paradigms of SNN Inference on Multi-core Heterogeneous Neuromorphic Platform SpiNNaker2, by Jiaxin Huang and 5 other authors
View PDFHTML (experimental)Abstract:With serial and parallel processors introduced into Spiking Neural Networks (SNNs) execution, more and more researchers are dedicated to improving the performance of the computing paradigms by taking full advantage of the strengths of the available processor. In this paper, we compare and integrate serial and parallel paradigms into one SNN compiling system. For a faster switching between them in the layer granularity, we train the classifier to prejudge a better paradigm before compiling instead of making the decision afterward, saving a great amount of compiling time and RAM space on the host PC. The classifier Adaptive Boost, with the highest accuracy (91.69%) among 12 classifiers, is integrated into the switching system, which utilizes less memory and processors on the multi-core neuromorphic hardware backend SpiNNaker2 than two individual paradigms. To the best of our knowledge, it is the first fast-switching compiling system for SNN simulation.
| Subjects: | Distributed, Parallel, and Cluster Computing (cs.DC) |
| Cite as: | arXiv:2406.17049 [cs.DC] |
| (orarXiv:2406.17049v2 [cs.DC] for this version) | |
| https://doi.org/10.48550/arXiv.2406.17049 arXiv-issued DOI via DataCite |
Submission history
From: Jiaxin Huang [view email][v1] Mon, 24 Jun 2024 18:10:18 UTC (2,572 KB)
[v2] Fri, 12 Jul 2024 14:41:10 UTC (2,558 KB)
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View a PDF of the paper titled Fast Switching Serial and Parallel Paradigms of SNN Inference on Multi-core Heterogeneous Neuromorphic Platform SpiNNaker2, by Jiaxin Huang and 5 other authors
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