A decomposition method with minimal communication volume for parallelization of multi-dimensional FFTs


We present a decomposition method for the parallelization of multi-dimensional FFTs with two distinguishing features: adaptive decomposition and transpose order awareness for achieving minimal communication volume. Based on a row-wise decomposition that translates the multi-dimensional data into one-dimensional data for equally allocating to the processes… (More)
DOI: 10.1145/2464996.2467276


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