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NeutronSparse reveals that with the right coordination strategies, NPUs can outperform leading GPU libraries in sparse matrix operations.
Achieving a 2.31x speedup in GNN training on heterogeneous CPU-NPU platforms could redefine efficiency benchmarks in graph learning.
