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nightly (25.02)
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Getting Started
Installation
Quickstart
Troubleshooting
API
Additional Features
UCX Integration
Explicit-comms
Spilling from device
Examples
Best Practices
Controlling number of workers
Enabling UCX communication
dask-cuda
Index
Index
Symbols
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C
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D
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I
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L
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N
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P
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R
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S
Symbols
--cudf-spill-stats
dask-cuda command line option
--dashboard
dask-cuda command line option
--dashboard-address
dask-cuda command line option
--dashboard-prefix
dask-cuda command line option
--death-timeout
dask-cuda command line option
--device-memory-limit
dask-cuda command line option
--disable-cudf-spill
dask-cuda command line option
--disable-infiniband
dask-cuda command line option
--disable-jit-unspill
dask-cuda command line option
--disable-nvlink
dask-cuda command line option
--disable-rdmacm
dask-cuda command line option
--disable-tcp-over-ucx
dask-cuda command line option
--enable-cudf-spill
dask-cuda command line option
--enable-infiniband
dask-cuda command line option
--enable-jit-unspill
dask-cuda command line option
--enable-nvlink
dask-cuda command line option
--enable-rdmacm
dask-cuda command line option
--enable-tcp-over-ucx
dask-cuda command line option
--host
dask-cuda command line option
--interface
dask-cuda command line option
--local-directory
dask-cuda command line option
--memory-limit
dask-cuda command line option
--multiprocessing-method
dask-cuda command line option
--name
dask-cuda command line option
--no-dashboard
dask-cuda command line option
--no-rmm-async
dask-cuda command line option
--no-rmm-managed-memory
dask-cuda command line option
--no-rmm-track-allocations
dask-cuda command line option
--no-shared-filesystem
dask-cuda command line option
--nthreads
dask-cuda command line option
--pid-file
dask-cuda command line option
--pre-import
dask-cuda command line option
--preload
dask-cuda command line option
--protocol
dask-cuda command line option
--resources
dask-cuda command line option
--rmm-async
dask-cuda command line option
--rmm-log-directory
dask-cuda command line option
--rmm-managed-memory
dask-cuda command line option
--rmm-maximum-pool-size
dask-cuda command line option
--rmm-pool-size
dask-cuda command line option
--rmm-release-threshold
dask-cuda command line option
--rmm-track-allocations
dask-cuda command line option
--scheduler-file
dask-cuda command line option
,
[1]
--set-rmm-allocator-for-libs
dask-cuda command line option
--shared-filesystem
dask-cuda command line option
--tls-ca-file
dask-cuda command line option
,
[1]
--tls-cert
dask-cuda command line option
,
[1]
--tls-key
dask-cuda command line option
,
[1]
--worker-class
dask-cuda command line option
C
CommsContext (class in dask_cuda.explicit_comms.comms)
D
dask-cuda command line option
--cudf-spill-stats
--dashboard
--dashboard-address
--dashboard-prefix
--death-timeout
--device-memory-limit
--disable-cudf-spill
--disable-infiniband
--disable-jit-unspill
--disable-nvlink
--disable-rdmacm
--disable-tcp-over-ucx
--enable-cudf-spill
--enable-infiniband
--enable-jit-unspill
--enable-nvlink
--enable-rdmacm
--enable-tcp-over-ucx
--host
--interface
--local-directory
--memory-limit
--multiprocessing-method
--name
--no-dashboard
--no-rmm-async
--no-rmm-managed-memory
--no-rmm-track-allocations
--no-shared-filesystem
--nthreads
--pid-file
--pre-import
--preload
--protocol
--resources
--rmm-async
--rmm-log-directory
--rmm-managed-memory
--rmm-maximum-pool-size
--rmm-pool-size
--rmm-release-threshold
--rmm-track-allocations
--scheduler-file
,
[1]
--set-rmm-allocator-for-libs
--shared-filesystem
--tls-ca-file
,
[1]
--tls-cert
,
[1]
--tls-key
,
[1]
--worker-class
PRELOAD_ARGV
,
[1]
SCHEDULER
,
[1]
I
initialize() (in module dask_cuda.initialize)
L
LocalCUDACluster (class in dask_cuda)
N
new_worker_spec() (dask_cuda.LocalCUDACluster method)
P
PRELOAD_ARGV
dask-cuda command line option
,
[1]
R
run() (dask_cuda.explicit_comms.comms.CommsContext method)
S
SCHEDULER
dask-cuda command line option
,
[1]
shuffle() (in module dask_cuda.explicit_comms.dataframe.shuffle)
stage_keys() (dask_cuda.explicit_comms.comms.CommsContext method)
submit() (dask_cuda.explicit_comms.comms.CommsContext method)