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Cosmological data sets are becoming so large as to make optimal statistical analyses of them impossible. Even with approximations made, the computational challenges can be severe. Cholesky Factorization of matrices is an essential tool. This paper reports on progress made by the author in implementing Cholesky Factorization on one or more graphics processing units (GPUs). Particular attention is paid...
The Viterbi algorithm is the compute-intensive kernel in Hidden Markov Model (HMM) based sequence alignment applications. In this paper, we investigate extending several parallel methods, such as the wave-front and streaming methods for the Smith-Waterman algorithm, to achieve a significant speed-up on a GPU. The wave-front method can take advantage of the computing power of the GPU but it cannot...
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