The multiplication of a sparse matrix with a dense vector (SpMV) is a key component in many numerical schemes and its performance is known to be severely limited by main memory access. Several ...

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Peer reviewers hail breakthrough as ‘significant’ advance in the development of atom-related quantum physics.

Then, the dense matrix exponential is absorbed in sparse matrix-vector multiplications (SpMVs) without explicit evaluation. This SpMV-based technique involves only one sparse matrix and can utilize ...