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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 on RAPIDS 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-cu13 26.8.1

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-cu13 26.8.1
File Interpreter ABI Platform
rapidsmpf_cu13-26.8.1-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_cu13-26.8.1-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_cu13-26.8.1-cp311-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL rapidsmpf_cu13-26.8.1-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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4908870df604d94949c6fc706b6fef26d36d8f43ec3ac91d1bad546f58a5c0d2
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Uploaded via twine/7.0.0 CPython/3.14.7

Release files / rapidsmpf_cu13-26.8.1-cp311-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

Download URL rapidsmpf_cu13-26.8.1-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
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2efdda569d411891827716d64cd3471b4abc84cabd1fa7fb5705ce21f09d10f7
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Uploaded via twine/7.0.0 CPython/3.14.7

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26.8.1 This release

2 release files

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