FloatSOM provides a distributed, out-of-core, topology-flexible GPU implementation of self-organizing maps that achieves lower quantization error than prior baselines on large benchmarks and trains a 1024-node map on one billion samples in under seven minutes on eight GPUs.
ect. 28 Supplementary Figure S2. FloatSOM versus XPySOM calibration under default settings for the RNG topology path. Panels A-C report pairedQEe
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FloatSOM: GPU-Accelerated, Distributed, Topology-Flexible Self-Organizing Maps
FloatSOM provides a distributed, out-of-core, topology-flexible GPU implementation of self-organizing maps that achieves lower quantization error than prior baselines on large benchmarks and trains a 1024-node map on one billion samples in under seven minutes on eight GPUs.