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What is Optimal Parallel Jacobi SVD Method about?

The document presents a new parallel Jacobi-like algorithm for computing the singular value decomposition (SVD) of a matrix. Unlike previous algorithms that use a ring topology for communication, the new algorithm introduces a recursive divide-and-exchange communication pattern. It is proven to achieve optimal computation and communication costs. The algorithm can be efficiently mapped to hypercube architectures. Preliminary results from an implementation on a hypercube are discussed.

Author

shock643

Language

EN