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Who: end users
What: use host memory on both a single node and a multi-node cluster in order to store property data that shouldn't occupy GPU memory
Why: Properties are not needed in GPU memory for cugraph algo calls, and will greatly reduce the max graph size if stored in GPU memory. If a user can instead store property data in host memory, this frees up GPU memory needed for graph structure data, allowing for much bigger graphs.
User story: "As a user, I need to use host memory on both a single node and a multi-node cluster in order to store property data that shouldn't occupy GPU memory."
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Who: end users
What: use host memory on both a single node and a multi-node cluster in order to store property data that shouldn't occupy GPU memory
Why: Properties are not needed in GPU memory for cugraph algo calls, and will greatly reduce the max graph size if stored in GPU memory. If a user can instead store property data in host memory, this frees up GPU memory needed for graph structure data, allowing for much bigger graphs.
User story: "As a user, I need to use host memory on both a single node and a multi-node cluster in order to store property data that shouldn't occupy GPU memory."
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