AINeutralarXiv – CS AI · 10h ago6/10
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cuRegOT: A GPU-Accelerated Solver for Entropic-Regularized Optimal Transport
Researchers introduce cuRegOT, a GPU-accelerated solver that significantly improves the speed of entropic-regularized optimal transport computations through algorithmic optimizations like amortized symbolic analysis and fused kernels. The breakthrough addresses a critical computational bottleneck in machine learning by outperforming existing GPU-based solvers while maintaining theoretical convergence guarantees.