Fix kvikio thread count override and the default backend to EASY_THREADPOOL in cudf-polars - #23683
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Fix kvikio thread count override and the default backend to EASY_THREADPOOL in cudf-polars#23683Matt711 wants to merge 6 commits into
EASY_THREADPOOL in cudf-polars#23683Matt711 wants to merge 6 commits into
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WalkthroughThe PR adds a pylibcudf KvikIO setup wrapper, centralizes KvikIO thread-pool configuration, and updates Dask, Ray, and SPMD engine setup and reset paths to use the shared configuration. ChangesKvikIO integration
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🔵 Low · up to The PR changes KvikIO initialization timing and default threading/backend behavior; Dask non-root workers may initialize CUDA before hardware binding applies CPU, NUMA, and UCX settings, creating a bounded deployment risk that should have explicit owner awareness or follow-up. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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In `@python/cudf_polars/cudf_polars/engine/dask.py`:
- Line 377: Move the configure_kvikio call to after the bind_to_gpu
hardware-binding branch completes, while keeping it before communicator or
streaming-context creation. Ensure KvikIO initialization occurs on all workers
only after CPU and NUMA binding has been applied.
In `@python/cudf_polars/tests/test_config.py`:
- Around line 919-925: Update the configure_kvikio test to mock
pylibcudf.io.kvikio.set_up_kvikio(), invoke configure_kvikio(42), and assert the
mocked setup observes KVIKIO_NTHREADS set to "42" before initialization. Retain
the existing kvikio.defaults assertions.
- Around line 919-925: Update the test containing configure_kvikio(42) to
snapshot kvikio.defaults values for num_threads and remote_io_backend before
mutation, then restore both during teardown while preserving the existing
assertions.
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docs/cudf/source/pylibcudf/api_docs/io/index.rstdocs/cudf/source/pylibcudf/api_docs/io/kvikio.rstpython/cudf_polars/cudf_polars/engine/core.pypython/cudf_polars/cudf_polars/engine/dask.pypython/cudf_polars/cudf_polars/engine/ray.pypython/cudf_polars/cudf_polars/engine/spmd.pypython/cudf_polars/cudf_polars/streaming/benchmarks/pdsds.pypython/cudf_polars/cudf_polars/streaming/benchmarks/pdsh.pypython/cudf_polars/cudf_polars/utils/config.pypython/cudf_polars/tests/test_config.pypython/pylibcudf/pylibcudf/io/CMakeLists.txtpython/pylibcudf/pylibcudf/io/__init__.pxdpython/pylibcudf/pylibcudf/io/__init__.pypython/pylibcudf/pylibcudf/io/kvikio.pxdpython/pylibcudf/pylibcudf/io/kvikio.pyipython/pylibcudf/pylibcudf/io/kvikio.pyxpython/pylibcudf/pylibcudf/libcudf/io/config_utils.pxd
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- python/cudf_polars/cudf_polars/streaming/benchmarks/pdsh.py
- python/cudf_polars/cudf_polars/streaming/benchmarks/pdsds.py
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Description
Follow-up to #23634.
So #23634 had a bug: libcudf calls
set_up_kvikio()on the first IO op and that resets the thread pool by readingKVIKIO_NTHREADS(default is 4 if unset). So even though we calledkvikio.defaults.set(num_threads=256)at engine init,set_up_kvikio()would undo it.This PR fixes (kind of hacky) the bug by calling set_up_kvikio() in cudf-polars so later when it's called again in libcudf, it's a no-op.
It also sets the kvikio remote IO backend to
EASY_THREADPOOLby default and removes unnecessaryKVIKIO_NTHREADS=8overrides from the benchmark runners now that the engine handles this setting.Checklist