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[gpuCI] Auto-merge branch-0.17 to branch-0.18 [skip ci] #464

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merged 4 commits into from
Dec 3, 2020
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[gpuCI] Auto-merge branch-0.17 to branch-0.18 [skip ci] #464

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f45cf19
Add note on RMM pool docs mentioning its per worker
pentschev Dec 2, 2020
a29209a
Add note on RMM pool rtd mentioning its per worker
pentschev Dec 3, 2020
9a770a5
Improve RMM pool size doc phrasing
pentschev Dec 3, 2020
1797f9b
Merge pull request #462 from pentschev/rmm-pool-size-doc-update
quasiben Dec 3, 2020
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4 changes: 3 additions & 1 deletion dask_cuda/cli/dask_cuda_worker.py
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Expand Up @@ -98,7 +98,9 @@
default=None,
help="If specified, initialize each worker with an RMM pool of "
"the given size, otherwise no RMM pool is created. This can be "
"an integer (bytes) or string (like 5GB or 5000M).",
"an integer (bytes) or string (like 5GB or 5000M)."
"NOTE: This size is a per worker (i.e., per GPU) configuration, "
"and not cluster-wide!",
)
@click.option(
"--rmm-managed-memory/--no-rmm-managed-memory",
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2 changes: 2 additions & 0 deletions dask_cuda/local_cuda_cluster.py
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Expand Up @@ -86,6 +86,8 @@ class LocalCUDACluster(LocalCluster):
rmm_pool_size: None, int or str
When None (default), no RMM pool is initialized. If a different value
is given, it can be an integer (bytes) or string (like 5GB or 5000M).
NOTE: The size is a per worker (i.e., per GPU) configuration, and
not cluster-wide!
rmm_managed_memory: bool
If True, initialize each worker with RMM and set it to use managed
memory. If False, RMM may still be used if `rmm_pool_size` is specified,
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2 changes: 2 additions & 0 deletions docs/source/worker.rst
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Expand Up @@ -64,6 +64,8 @@ New configuration options::
RMM pool of the given size, otherwise no RMM
pool is created. This can be an integer
(bytes) or string (like 5GB or 5000M).
NOTE: This size is a per worker (i.e., per
GPU) configuration, and not cluster-wide!

--enable-tcp-over-ucx / --disable-tcp-over-ucx
Enable TCP communication over UCX
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