v22.08.00

🐛 Bug Fixes

• Specify language as 'en' instead of None (#1059) @jakirkham
• Add a missed except * (#1057) @shwina
• Properly handle cudaMemHandleTypeNone and cudaErrorInvalidValue in is_export_handle_type_supported (#1055) @gerashegalov

📖 Documentation

• Centralize common css & js code in docs (#1075) @galipremsagar

🛠️ Improvements

• Add the ability to register and unregister reinitialization hooks (#1072) @shwina
• Update isort to 5.10.1 (#1069) @vyasr
• Forward merge 22.06 into 22.08 (#1067) @vyasr
• Forward merge 22.06 into 22.08 (#1066) @vyasr
• Pin max version of cuda-python to 11.7 (#1062) @galipremsagar
• Change build.sh to find C++ library by default and avoid shadowing CMAKE_ARGS (#1053) @vyasr

[NIGHTLY] v22.10.00

🔗 Links

• Development Branch
• Compare with main branch

🐛 Bug Fixes

• Ensure consistent spdlog dependency target no matter the source (#1101) @robertmaynard
• Remove cuda event deadlocking issues in device mr tests (#1097) @robertmaynard
• Propagate exceptions raised in Python callback functions (#1096) @madsbk
• Avoid unused parameter warnings in do_get_mem_info (#1084) @fkallen
• Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#1083) @robertmaynard

📖 Documentation

• Document that minimum required CMake version is now 3.23.1 (#1098) @robertmaynard
• Fix docs for module-level API (#1091) @bdice
• Improve DeviceBuffer docs. (#1090) @bdice
• Branch 22.10 merge 22.08 (#1089) @harrism
• Improve docs formatting and update links. (#1086) @bdice
• Add resources section to README. (#1085) @bdice
• Simplify PR template. (#1080) @bdice

🚀 New Features

• Add gdb pretty-printers for rmm types (#1088) @upsj
• Support using THRUST_WRAPPED_NAMESPACE (#1077) @robertmaynard

🛠️ Improvements

• HOTFIX: Update cuda-python dependency to 11.7.1 (#1136) @shwina
• GH Actions - Enforce checks before builds run (#1125) @ajschmidt8
• Update GH Action Workflows (#1123) @ajschmidt8
• Add cudatoolkit versions to dependencies.yaml (#1119) @ajschmidt8
• Remove rmm installation from librmm tests` (#1117) @ajschmidt8
• Add GitHub Actions workflows (#1104) @Ethyling
• build.sh: accept --help (#1093) @madsbk
• Move clang dependency to conda develop packages. (#1092) @bdice
• Add device_uvector::reserve and device_buffer::reserve (#1079) @upsj
• Bifurcate Dependency Lists (#1073) @ajschmidt8

v22.06.01

v22.06.01

v22.06.00

🐛 Bug Fixes

• Clarifies Python requirements and version constraints (#1037) @jakirkham
• Use lib (not lib64) for libraries (#1024) @jakirkham
• Properly enable Cython docstrings. (#1020) @vyasr
• Update RMMNumbaManager to handle NUMBA_CUDA_USE_NVIDIA_BINDING=1 (#1004) @brandon-b-miller

📖 Documentation

• Clarify using RMM with other Python libraries (#1034) @jrhemstad
• Replace to_device with DeviceBuffer.to_device (#1033) @wence-
• Documentation Fix: Replace cudf::logic_error with rmm::logic_error (#1021) @codereport

🚀 New Features

• Add rmm::exec_policy_nosync (#1009) @fkallen
• Callback memory resource (#980) @shwina

🛠️ Improvements

• Fix conda recipes for conda compilers (#1043) @Ethyling
• Use new rapids-cython component of rapids-cmake to simplify builds (#1031) @vyasr
• Merge branch-22.04 to branch-22.06 (#1028) @jakirkham
• Update CMake pinning to just avoid 3.23.0. (#1023) @vyasr
• Build python using conda in GPU jobs (#1017) @Ethyling
• Remove pip requirements file. (#1015) @bdice
• Clean up Thrust includes. (#1011) @bdice
• Update black version (#1010) @vyasr
• Update cmake-format version for pre-commit and environments. (#995) @vyasr
• Use conda compilers (#977) @Ethyling
• Build conda packages using mambabuild (#900) @Ethyling

v22.04.01

v22.04.01

v22.04.00

🐛 Bug Fixes

• Add cuda-python dependency to pyproject.toml (#994) @sevagh
• Disable opportunistic reuse in async mr when cuda driver < 11.5 (#993) @rongou
• Use CUDA 11.2+ features via dlopen (#990) @robertmaynard
• Skip async mr tests when cuda runtime/driver < 11.2 (#986) @rongou
• Fix warning/error in debug assertion in device_uvector.hpp (#979) @harrism
• Fix signed/unsigned comparison warning (#970) @jlowe
• Fix comparison of async MRs with different underlying pools. (#965) @harrism

🚀 New Features

• Use scikit-build for the build process (#976) @vyasr

🛠️ Improvements

• Temporarily disable new ops-bot functionality (#1005) @ajschmidt8
• Rename librmm_tests to librmm-tests (#1000) @ajschmidt8
• Update librmm conda recipe (#997) @ajschmidt8
• Remove no_cma/has_cma variants (#996) @ajschmidt8
• Fix free-before-alloc in multithreaded test (#992) @aladram
• Add .github/ops-bot.yaml config file (#991) @ajschmidt8
• Log allocation failures (#988) @rongou
• Update librmm conda outputs (#983) @ajschmidt8
• Bump Python requirements in setup.cfg and rmm_dev.yml (#982) @shwina
• New benchmark compares concurrent throughput of device_vector and device_uvector (#981) @harrism
• Update librmm recipe to output librmm_tests package (#978) @ajschmidt8
• Update upload.sh to use --croot (#975) @AyodeAwe
• Fix conda uploads (#974) @ajschmidt8
• Add CMake install rules for tests (#969) @ajschmidt8
• Add device_buffer::ssize() and device_uvector::ssize() (#966) @harrism
• Added yml file for cudatoolkit version 11.6 (#964) @alhad-deshpande
• Replace ccache with sccache (#963) @ajschmidt8
• Make pool_memory_resource::pool_size() public (#962) @shwina
• Allow construction of cuda_async_memory_resource from existing pool (#889) @fkallen

v22.02.00

🐛 Bug Fixes

• Use numba to get CUDA runtime version. (#946) @bdice
• Temporarily disable warnings for unknown pragmas (#942) @harrism
• Build benchmarks in RMM CI (#941) @harrism
• Headers that use std::thread now include <thread> (#938) @robertmaynard
• Fix failing stream test with a debug-only death test (#934) @harrism
• Prevent DeviceBuffer DeviceMemoryResource premature release (#931) @viclafargue
• Fix failing tracking test (#929) @harrism

🛠️ Improvements

• Prepare upload scripts for Python 3.7 removal (#952) @Ethyling
• Fix imports tests syntax (#935) @Ethyling
• Remove IncludeCategories from .clang-format (#933) @codereport
• Replace use of custom CUDA bindings with CUDA-Python (#930) @shwina
• Remove setup.py from update-release.sh script (#926) @ajschmidt8
• Improve C++ Test Coverage (#920) @harrism
• Improve the Arena allocator to reduce memory fragmentation (#916) @rongou
• Simplify CMake linting with cmake-format (#913) @vyasr

v21.12.00

🚨 Breaking Changes

• Parameterize exception type caught by failure_callback_resource_adaptor (#898) @harrism

🐛 Bug Fixes

• Update recipes for Enhanced Compatibility (#910) @ajschmidt8
• Fix librmm uploads (#909) @ajschmidt8
• Use spdlog/fmt/ostr.h as it supports external fmt library (#907) @robertmaynard
• Fix variable names in logging macro calls (#897) @harrism
• Keep rapids cmake version in sync (#876) @robertmaynard

📖 Documentation

• Replace to_device() in docs with DeviceBuffer.to_device() (#902) @shwina
• Fix return value docs for supports_get_mem_info (#884) @harrism

🚀 New Features

• Out-of-memory callback resource adaptor (#892) @madsbk

🛠️ Improvements

• suppress spurious clang-tidy warnings in debug macros (#914) @rongou
• C++ code coverage support (#905) @harrism
• Provide ./build.sh flag to control CUDA async malloc support (#901) @robertmaynard
• Parameterize exception type caught by failure_callback_resource_adaptor (#898) @harrism
• Throw rmm::out_of_memory when we know for sure (#894) @rongou
• Update conda recipes for Enhanced Compatibility effort (#893) @ajschmidt8
• Add functions to query the stream of device_uvector and device_scalar (#887) @fkallen
• Add spdlog to install export set (#886) @trxcllnt

v21.10.01

v21.10.01

v21.10.00

🚨 Breaking Changes

• Delete cuda_async_memory_resource copy/move ctors/operators (#860) @jrhemstad

🐛 Bug Fixes

• Fix parameter name in asserts (#875) @vyasr
• Disallow zero-size stream pools (#873) @harrism
• Correct namespace usage in host memory resources (#872) @divyegala
• fix race condition in limiting resource adapter (#869) @rongou
• Install the right cudatoolkit in the conda env in gpu/build.sh (#864) @shwina
• Disable copy/move ctors and operator= from free_list classes (#862) @harrism
• Delete cuda_async_memory_resource copy/move ctors/operators (#860) @jrhemstad
• Improve concurrency of stream_ordered_memory_resource by stealing less (#851) @harrism
• Use the new RAPIDS.cmake to fetch rapids-cmake (#838) @robertmaynard

📖 Documentation

• Forward-merge branch-21.08 to branch-21.10 (#846) @jakirkham

🛠️ Improvements

• Forward-merge branch-21.08 into branch-21.10 (#877) @ajschmidt8
• Add .clang-tidy and fix clang-tidy warnings (#857) @harrism
• Update to use rapids-cmake 21.10 pre-configured packages (#854) @robertmaynard
• Clean up: use std::size_t, include cstddef and aligned.hpp where missing (#852) @harrism
• tweak the arena mr to reduce fragmentation (#845) @rongou
• Fix transitive include in cuda_device header (#843) @wphicks
• Refactor cmake style (#842) @robertmaynard
• add multi stream allocations benchmark. (#841) @cwharris
• Enforce default visibility for get_map. (#833) @trivialfis
• ENH Replace gpuci_conda_retry with gpuci_mamba_retry (#823) @dillon-cullinan
• Execution policy class (#816) @viclafargue