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Currently, managed memory is the preferred approach for sampling in resource-constrained environments, but it has a number of drawbacks, including large page sizes. UVA is already used by DGL in its GPU-enabled sampling approach; it would be good to see how it performs within cuGraph.
Currently, managed memory is the preferred approach for sampling in resource-constrained environments, but it has a number of drawbacks, including large page sizes. UVA is already used by DGL in its GPU-enabled sampling approach; it would be good to see how it performs within cuGraph.
See: rapidsai/rmm#1392
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