Tensor contractions are at the core of many important workloads in machine learning, computational chemistry, and quantum computing. As scientists and engineers pursue ever-growing problems, the underlying data gets larger in size and calculations take longer and longer. When a tensor contraction does not fit into a single GPU anymore, or if it takes too long on a single GPU��
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