Publication | Closed Access
IA-SpGEMM
58
Citations
50
References
2019
Year
Unknown Venue
Computational ScienceSparse RepresentationEngineeringMatrix FactorizationSeveral Spgemm AlgorithmsArray ComputingSparse KernelCompressive SensingComputer EngineeringParallel ProgrammingComputer ScienceParallel ComputingSparse Matrix-matrix MultiplicationSignal ProcessingLow-rank Approximation
Sparse matrix-matrix multiplication (SpGEMM) is a sparse kernel that is used in a number of scientific applications. Although several SpGEMM algorithms have been proposed, almost all of them are restricted to the compressed sparse row (CSR) format, and the possible performance gain from exploiting other formats has not been well studied. The particular format and algorithm that yield the best performance for SpGEMM also remain undetermined.
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