Disable GPU accelerated row-column transpose for Pascal GPUs: #5122
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Works around the failures described in NVIDIA#4980. This commit bypasses GPU accelerated row-column conversion for Pascal GPUs. Other architectures should remain unaffected by this shunt. Further investigation might be required to find the actual problem in CUDF's `fixed_width_convert_to_rows()` implementation. Signed-off-by: MithunR <[email protected]>
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sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuColumnarToRowExec.scala
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1. Converted `isAcceleratedTransposeSupported` to a `lazy val`. 2. Changed to use `Cuda.getComputeCapabilityMajor`.
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I've tested that this bypass works for Pascal, and that Turing still uses the fast path. |
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sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuColumnarToRowExec.scala
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This commit introduces JNI bindings to retrieve the major and minor CUDA compute capability versions for the current CUDA device. This feature enables introspection from `spark-rapids` to detect the GPU architecture, for model-specific behaviour. This is required from NVIDIA/spark-rapids/pull/5122, to work around the erroneous behaviour of JNI `fixed_width_convert_to_rows()` on Pascal GPUs (#10569), (which in turn produces failures like NVIDIA/spark-rapids/issues/4980). Authors: - MithunR (https://github.com/mythrocks) Approvers: - https://github.com/nvdbaranec - Jason Lowe (https://github.com/jlowe) - Nghia Truong (https://github.com/ttnghia)
Rephrase description of the workaround for column->row transposition bug.
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Fixes NVIDIA#5181. The change in NVIDIA#5122 modifies the row->column conversion code to run differently on Pascal GPUs. It does so by checking the GPU architecture to detect whether the current device is Pascal. In a distributed setup, this check should run on the Spark executor. As it currently stands, the check is erroneously run on the driver. This fix postpones the GPU architecture check till the executor task attempts to fetch result rows. Signed-off-by: MithunR <[email protected]>
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Fixes #5181. The change in #5122 modifies the row->column conversion code to run differently on Pascal GPUs. It does so by checking the GPU architecture to detect whether the current device is Pascal. In a distributed setup, this check should run on the Spark executor. As it currently stands, the check is erroneously run on the driver. This fix postpones the GPU architecture check till the executor task attempts to fetch result rows. Signed-off-by: MithunR <[email protected]>
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Depends on rapidsai/cudf/pull/10568.
Works around the failures described in #4980.
This commit bypasses GPU accelerated row-column conversion for Pascal GPUs.
Other architectures should remain unaffected by this shunt.
Further investigation might be required to find the actual problem in
CUDF's
fixed_width_convert_to_rows()implementation.Signed-off-by: MithunR [email protected]