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v24.08.0 release
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@YanxuanLiu YanxuanLiu released this 19 Sep 07:54
· 38 commits to branch-24.10 since this release
v24.08
7f8e779
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Release notes:

  • Removed MAXINT limit on number of non-zero inputs per GPU for sparse logistic regression.
  • IVF-PQ and Cagra were added to the suite of supported approximate nearest neighbor algorithms.
  • Extended benchmarking scripts to be compatible with Databricks runtime 13.3 with the spark-rapids plugin and 14.3 and 15.4 without the plugin.
  • Included an experimental CLI for no-import-statement-change acceleration of pyspark.ml applications.
  • Fixed a slow down for inputs having a large number of columns when type conversion is required.
  • Updated RAPIDS dependencies to 24.08.
  • Known issues to be fixed in next release:
    • for sparse logistic regression fit a low-level C++/CUDA exception is raised if a partition has no non-zero data.
    • array type inputs with int dtypes are not converted to float leading to errors in some algorithms (e.g. cagra ann)
    • in ivf-pq based Cagra the intermediate graph degree must <= 128 or a low-level C++ exception is raised
    • test_sparse_int64 test requires 256GB host memory to run and not 128GB stated in the comments

pip package available at https://pypi.org/project/spark-rapids-ml/24.08.0/

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