A novel MPI-based construction method for spiking neural networks on multi-GPU clusters is introduced, with scaling demonstrated on two cortical models using point-to-point and collective communication.
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2 Pith papers cite this work, alongside 299 external citations. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Joint modeling of multiple subjects' fMRI data produces low-dimensional embeddings that outperform raw high-dimensional voxel spaces on music genre and language topic classification while increasing semantic richness.
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Scalable Construction of Spiking Neural Networks using up to thousands of GPUs
A novel MPI-based construction method for spiking neural networks on multi-GPU clusters is introduced, with scaling demonstrated on two cortical models using point-to-point and collective communication.
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Low-dimensional Embodied Semantics for Music and Language
Joint modeling of multiple subjects' fMRI data produces low-dimensional embeddings that outperform raw high-dimensional voxel spaces on music genre and language topic classification while increasing semantic richness.