Distributed Matrix Factorization

Matrix Partitioning

Strategy for splitting a massive matrix into sub-blocks (by rows, by columns, or by square blocks) distributed across cluster nodes, a crucial choice that directly impacts workload, inter-node communication, and overall performance of factorization algorithms.

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