Parallelized Hybrid Sparse Matrix Representations for Performing Personalized Content Ranking
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United States of America Patent
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Sep 8, 2016
app pub date -
Mar 2, 2015
filing date -
Mar 2, 2015
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Abstract
Mechanisms are provided for performing a matrix operation. A processor is configured to perform hybrid compressed representation matrix operations on an input matrix that comprises zero value and non-zero value entries. A first compressed representation data structure corresponding to the input matrix, and a second compressed representation data structure are obtained, each utilizing a different format for representing the non-zero value entries of the input matrix. A matrix operation is iteratively executed on the input matrix using the first compressed representation data structure and the second compressed representation data structure. The first compressed representation data structure is utilized for a first subset of iterations of the matrix operation and the second compressed representation data structure is utilized for a second subset of iterations of the matrix operation different from the first subset of iterations.
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