A PyTorch-based multi-GPU LP solver using column-sharded parallelism, fused kernels, and ridge regularization claims order-of-magnitude speedups and near-linear scaling on GPU clusters for large matching problems.
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Large-Scale Regularized Matching on GPU Clusters
A PyTorch-based multi-GPU LP solver using column-sharded parallelism, fused kernels, and ridge regularization claims order-of-magnitude speedups and near-linear scaling on GPU clusters for large matching problems.