These are the release notes for the cuda-cccl Python package version 0.4.3, dated December 18th, 2025. The previous release was v0.4.2.

cuda.cccl is in "experimental" status, meaning that its API and feature set can change quite rapidly.

Installation

Please refer to the install instructions here

Features

Improvements and bug fixes

• Add missing OpKind docs entries (#6910)
• Unify operator handling in cuda.compute (#6938)
• [cuda.compute] Refactor code for creating void* wrappers (#6941)
• Remove need for hardcoded LevelT for histogram in c.parallel and cuda.compute (#6915)
• c.parallel: reuse CUB agent policies for histogram (#6974)
• [cuda.compute]: fix alignment not being set properly for gpu_struct types (#6995)

These are the release notes for the cuda-cccl Python package version 0.4.2, dated December 9th, 2025. The previous release was v0.4.1.

cuda.cccl is in "experimental" status, meaning that its API and feature set can change quite rapidly.

Installation

Please refer to the install instructions here

Features

Improvements and bug fixes

• Add explicit dependency on nvidia-nvvm (#6909 )

These are the release notes for the cuda-cccl Python package version 0.4.1, dated December 8th, 2025. The previous release was v0.4.0.

cuda.cccl is in "experimental" status, meaning that its API and feature set can change quite rapidly.

Installation

Please refer to the install instructions here

Features

Improvements and bug fixes

• Fix issue with get_dtype() not working anymore for pytorch arrays (#6882)
• Add fast path to extract PyTorch array pointer (#6884)

Breaking Changes

These are the release notes for the cuda-cccl Python package version 0.4.0, dated December 3rd, 2025. The previous release was v0.3.4.

cuda.cccl is in "experimental" status, meaning that its API and feature set can change quite rapidly.

Installation

Please refer to the install instructions here

Features

• Added select algorithm for filtering data (#6766)
• Support for nested structs (#6353)
• Added DiscardIterator (#6618)
• The cccl-python Python package can now be installed via conda (#6513)

Improvements and bug fixes

• Allow numpy struct types as initial value for Zipiterator inputs (#6861)
• Allow using ZipIterator as an output in cuda.compute (#6518)
• Enable caching of advance/dereference methods for Zipiterator and PermutationIterator (#6753)
• Use wrapper with void* argument types for iterator advance/dereference signature (#6634)
• Fixes and improvements to function caching (#6758)
• Fix handling of wrapped cuda.jit functions (#6770)
• Use annotations if available to determine return type of transform op (#6760)
• Allow passing in None as init value for scan when using an iterator as input (#6499)

Breaking Changes

What's Changed

🔄 Other Changes

• [Backport branch/3.1.x] Fix invalid reference type of cuda::strided_iterator by @github-actions[bot] in #6517
• [Backport branch/3.1.x] Fixes issue with select close to int_max by @github-actions[bot] in #6700
• Bump branch/3.1.x to 3.1.3. by @wmaxey in #6621
• Backport changes for XGBoost compatibility by @bdice in #6727

Full Changelog: v3.1.2...v3.1.3

What's Changed

🔄 Other Changes

• [BACKPORT 3.1] Always include <new> when we need operator new for clang-cuda (#6310) by @miscco in #6445
• [Backport branch/3.1.x] Fix offset_iterator tests by @github-actions[bot] in #6446
• [BACKPORT 3.1] Add _CCCL_DECLSPEC_EMPTY_BASES to mdspan features (#6444) by @miscco in #6449
• Bump branch/3.1.x to 3.1.2. by @wmaxey in #6433
• [Backport 3.1] Fix clang 21 issues (#6404) by @davebayer in #6447
• [Backport branch/3.1.x] Ensure that detect_wrong_difference is a valid output iterator by @github-actions[bot] in #6453
• [Backport to 3.1] Fix cub.bench.radix_sort.keys.base regression on H200 (#6452) by @bernhardmgruber in #6458
• [Backport 3.1] Do not mark deduction guides as hidden (#6350) by @miscco in #6457

Full Changelog: v3.1.1...v3.1.2

These are the release notes for the cuda-cccl Python package version 0.3.4, dated November 5th, 2025. The previous release was v0.3.3.

cuda.cccl is in "experimental" status, meaning that its API and feature set can change quite rapidly.

Installation

Please refer to the install instructions here

Features and improvements

• Introduced cuda.compute.segmented_sort API.

Bug Fixes

Breaking Changes

What's Changed

🔄 Other Changes

• Bump branch/3.1.x to 3.1.1. by @wmaxey in #6235
• [Backport branch/3.1.x] Fix __compressed_movable_box by @github-actions[bot] in #6248
• [Backport branch/3.1.x] Fix __is_primary_std_template for libc++ by @github-actions[bot] in #6249
• [Backport 3.1] Fix invalid refactoring of #4377 (#6246) by @miscco in #6265
• [Backport branch/3.1.x] Fix using char as the index type of tabulate_output_iterator by @github-actions[bot] in #6273
• [Backport 3.1]: Fix missing qualifications for __construct_at (#6270) by @miscco in #6274
• [Backport branch/3.1.x] Fix missed constructor with compressed box by @github-actions[bot] in #6272
• [Backport 3.1] Fix string_view construction from std::string_view (#6291) by @davebayer in #6301
• [Backport 3.1] Include <math.h> in <cuda/std/cmath> headers unconditionally (#6333) by @davebayer in #6339

Full Changelog: v3.1.0...v3.1.1

These are the release notes for the cuda-cccl Python package version 0.3.3, dated October 21st, 2025. The previous release was v0.3.2.

cuda.cccl is in "experimental" status, meaning that its API and feature set can change quite rapidly.

Installation

Please refer to the install instructions here

Features and improvements

• This is the first release that features Windows wheels published to PyPI. You can now pip install cuda-cccl[cu12] or pip install cuda-cccl[cu13] on Windows for Python versions 3.10, 3.11, 3.12, and 3.13.

Bug Fixes

Breaking Changes

These are the release notes for the cuda-cccl Python package version 0.3.2, dated October 17th, 2025. The previous release was v0.3.1.

cuda.cccl is in "experimental" status, meaning that its API and feature set can change quite rapidly.

Installation

Please refer to the install instructions here

Features and improvements

• Allow passing in a device array or None as the initial value in scan.

Bug Fixes

Breaking Changes