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Published by GPUtester over 2 years ago
lib
(not lib64
) for libraries (#1024) @jakirkhamRMMNumbaManager
to handle NUMBA_CUDA_USE_NVIDIA_BINDING=1
(#1004) @brandon-b-millerto_device
with DeviceBuffer.to_device
(#1033) @wence-cudf::logic_error
with rmm::logic_error
(#1021) @codereportPublished by GPUtester over 2 years ago
v22.04.01
Published by GPUtester over 2 years ago
ops-bot
functionality (#1005) @ajschmidt8librmm_tests
to librmm-tests
(#1000) @ajschmidt8librmm
conda
recipe (#997) @ajschmidt8no_cma
/has_cma
variants (#996) @ajschmidt8.github/ops-bot.yaml
config file (#991) @ajschmidt8librmm
conda
outputs (#983) @ajschmidt8setup.cfg
and rmm_dev.yml
(#982) @shwinalibrmm
recipe to output librmm_tests
package (#978) @ajschmidt8--croot
(#975) @AyodeAweconda
uploads (#974) @ajschmidt8install
rules for tests (#969) @ajschmidt8ccache
with sccache
(#963) @ajschmidt8pool_memory_resource::pool_size()
public (#962) @shwinaPublished by GPUtester over 2 years ago
std::thread
now include <thread> (#938) @robertmaynardDeviceBuffer
DeviceMemoryResource premature release (#931) @viclafargueIncludeCategories
from .clang-format
(#933) @codereportsetup.py
from update-release.sh
script (#926) @ajschmidt8Published by GPUtester almost 3 years ago
librmm
uploads (#909) @ajschmidt8to_device()
in docs with DeviceBuffer.to_device()
(#902) @shwinarmm::out_of_memory
when we know for sure (#894) @rongouconda
recipes for Enhanced Compatibility effort (#893) @ajschmidt8Published by GPUtester about 3 years ago
v21.10.01
Published by GPUtester about 3 years ago
branch-21.08
into branch-21.10
(#877) @ajschmidt8get_map
. (#833) @trivialfisPublished by GPUtester about 3 years ago
v21.08.02
Published by GPUtester about 3 years ago
v21.08.01
Published by GPUtester about 3 years ago
rmm::device_scalar
in terms of rmm::device_uvector
(#789) @harrismtracking_resource_adaptor
and statistics_resource_adaptor
(#626) @mdemoret-nvrmm-exports
if found by CPM (#810) @trxcllnt21.08
forward-merge conflicts (#803) @ajschmidt8rmm::device_scalar
in terms of rmm::device_uvector
(#789) @harrismPublished by GPUtester over 3 years ago
cuda_version
(#785) @ajschmidt8CHANGELOG.md
links for calver (#781) @ajschmidt8branch-0.19
into branch-21.06
(#779) @ajschmidt8Published by GPUtester over 3 years ago
rmm
conda recipe pinning of librmm
" (#743) @raydouglassrmm
conda recipe pinning of librmm
(#738) @mike-wendtcuda_async_memory_resource
(#718) @shwinacompute
for the newest arch in CMAKE_CUDA_ARCHITECTURES (#706) @robertmaynardfind_package(rmm)
(#698) @robertmaynardmemory_resource_adaptors.hpp
Needed by Cython (#662) @mdemoret-nvDeviceBuffer
(#661) @mdemoret-nvPublished by rapids-bot[bot] over 3 years ago
managed_memory_resource
does not work with NVIDIA vGPU (#656) @harrismcuda_async_memory_resource
built on cudaMallocAsync
(#676) @harrismrmm::exec_policy
and refactor Thrust support (#647) @harrismPublished by GPUtester almost 4 years ago
v0.17.0 Release
Published by GPUtester about 4 years ago
v0.16.0 Release
Published by raydouglass about 4 years ago
v0.15.0 Release
Published by mike-wendt over 5 years ago
The second release of RMM as a standalone repository. Previously it was part of https://github.com/rapidsai/cudf This release matches the version numbering of cuDF.
Published by harrism almost 6 years ago
The initial release of RMM as a standalone repository. Previously it was part of https://github.com/rapidsai/cudf This release starts from the version number of cuDF at the time RMM was split.