A kNN classifier trained on empirical optima predicts suitable sub-system sizes and recursion depths for the GPU implementation of the tridiagonal partition method.
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ML-Based Optimum Sub-system Size Heuristic for the GPU Implementation of the Tridiagonal Partition Method
A kNN classifier trained on empirical optima predicts suitable sub-system sizes and recursion depths for the GPU implementation of the tridiagonal partition method.