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First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. This paper describes a non-negative matrix factorization for tall and skinny matrices. This algorithm works in the bigdata scenario because it need only pass over the tall skinny matrix one time. This linear read of the tall skinny matrix does not fully utilize the distributed mapreduce framework. I wonder, is it possible to parallelize the reading of the matrix and combine the results from subsets of the data into one final result?