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Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale
We present a distributed-memory algorithm for sparse matrix-matrix multiplication (SpGEMM) of extremely large matrices where the generated output is larger than the aggregated memory of a target supercomputer. We address this challenge by splitting the computation into batches with each batch generating a set of output columns. We developed a …