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Add CUDA async memory resource as an option #3447
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Signed-off-by: Rong Ou <[email protected]>
"as \"DEFAULT\" is known to be unstable (https://github.com/NVIDIA/spark-rapids/issues/1141)") | ||
.doc("Select the RMM pooling allocator to use. Valid values are \"DEFAULT\", \"ARENA\", " + | ||
"\"ASYNC\", and \"NONE\". With \"DEFAULT\", `rmm::mr::pool_memory_resource` is used; with " + | ||
"\"ARENA\", `rmm::mr::arena_memory_resource` is used; with \"ASYNC\", " + |
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This doc is intended for end-users, and I think rmm::mr::arena_memory_resource
is too much detail here. I suggest simplifying this to say it uses the new CUDA stream-ordered memory allocator in CUDA 11.2+.
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Done.
Signed-off-by: Rong Ou <[email protected]>
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This only adds an option to set the gpu memory pool to use RMM
cuda_async_memory_resource
. Additional work needs to be done to support UCX (e.g. openucx/ucx#7204) and possibly GDS.Depends on rapidsai/cudf#9201.
Signed-off-by: Rong Ou [email protected]