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SIMD reformulation of clustering algorithms allows greater scaling. (a) The runtime of the parallelized k-centers code as a function of data input size. (b) The runtime of the parallelized k-medoids code as a function of data input size. (c) The load time of the parallel code as a function of input data size. Points represent the average and error bars the standard deviation across three trials.
