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RapidsMPF

Collection of multi-GPU, distributed memory algorithms. RapidsMPF provides a unified framework for asynchronous, multi-GPU pipelines using simple streaming primitives built using NVIDIA CUDA-X components.

Documentation

Build from Source

git clone https://github.com/rapidsai/rapidsmpf.git
cd rapidsmpf
mamba env create --name rapidsmpf-dev --file conda/environments/all_cuda-133_arch-$(uname -m).yaml
./build.sh

See the Getting Started guide for debug builds, AddressSanitizer, MPI/UCX test suites, and rrun launcher details.

Metadata

Release files for rapidsmpf-cu12 26.10.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for rapidsmpf-cu12 26.10.0
File Interpreter ABI Platform
rapidsmpf_cu12-26.10.0-cp311-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.11 abi3 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details
rapidsmpf_cu12-26.10.0-cp311-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl CPython 3.11 abi3 Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64 Details

Total release size: 5.6 MB

Release files / rapidsmpf_cu12-26.10.0-cp311-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL rapidsmpf_cu12-26.10.0-cp311-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Size 2.8 MB
Tags CPython 3.11 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 abi3
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e5e00b59fde2f18abdc13256468627e49f045e69745116ab0792c96e382b5fff
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Release files / rapidsmpf_cu12-26.10.0-cp311-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

Download URL rapidsmpf_cu12-26.10.0-cp311-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Size 2.8 MB
Tags CPython 3.11 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 abi3
SHA-256 checksum
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c24284fb76fd08b992ba509e6d213e1cc57aab3a1aa7b7336e68dff6b0cf55ac
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This release

26.10.0 This release

2 release files

26.8.1

2 release files

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