AI RESEARCH
cuRegOT: A GPU-Accelerated Solver for Entropic-Regularized Optimal Transport
arXiv CS.AI
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ArXi:2605.08793v1 Announce Type: cross Optimal transport (OT) has emerged as a fundamental tool in modern machine learning, yet its computational cost remains a significant bottleneck for large-scale applications. While harnessing the massive parallelism of modern GPU hardware is critical for efficiency, the de facto standard Sinkhorn algorithm, despite its ease of parallelization, often suffers from slow convergence in challenging problems.