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A Framework for Practical Parallel Fast Matrix Multiplication
Austin R. Benson, Grey Ballard
Matrix multiplication is a fundamental computation in many scientific disciplines. In this paper, we show that novel fast matrix multiplication algorithms can significantly outperf…
Scalable methods for nonnegative matrix factorizations of near-separable tall-and-skinny matrices
Austin R. Benson, Jason D. Lee, Bartek Rajwa +1
Numerous algorithms are used for nonnegative matrix factorization under the assumption that the matrix is nearly separable. In this paper, we show how to make these algorithms effi…
Learning multifractal structure in large networks
Austin R. Benson, Carlos Riquelme, Sven Schmit
Generating random graphs to model networks has a rich history. In this paper, we analyze and improve upon the multifractal network generator (MFNG) introduced by Palla et al. We pr…