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I’d be interested in a comparison with Eigen for Linear Algebra workflows. I would love to perform eigen analysis or svd on large matrices using CUDA.


Hi, what matrix sizes and types are you working with and how many batches? In general it sounds be similar to eigen, but with GPU support. We have several svd methods for different scenarios, so if you give us the info above we can let you know the performance.




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