NVIDIA Blog: GPU-Accelerated Clustering for Financial Instruments at Scale

Presents AdaptGrow, a GPU-accelerated SymNMF matrix factorization algorithm that turns rolling correlation and tail-dependence matrices into hard clusters, soft factor loadings, and structural-break signals at single-GPU and multi-node scale. A memory-efficient formulation cuts peak storage from ~20n items.