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We present a novel strategy for automatic performance tuning of GPU computational kernels. The strategy combines heuristic search with regression trees to prune the optimization space. It samples configurations in the space and uses these samples to build a regression tree. It then focuses the search on the leaf region of the tree with the best mean sample performance. Additional configurations are...
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