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University of Minnesota
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SparseDitto achieves up to 146.61x speedup for sparse matrix operations by dynamically customizing GPU kernels based on input patterns.
Superlinear convergence of the Barzilai-Borwein method is a myth for a wide class of quadratic problems in dimensions four and higher.
Achieving an average binding score of -8.85 kcal/mol, conDitar-dev not only excels in binding affinity but also optimizes for critical drug developability properties, setting a new standard in computational drug design.
Forget hand-tuning CUDA: a multi-agent system now automates end-to-end GPU program generation with near-perfect success and significant speedups.
