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Building and then running nvcomp can be a bit tricky with dependencies
on different versions of cmake and CUDA etc. This commit creates a
Dockerfile which makes it much easier to build the nvcomp library and
benchmarks in a consistent environment. One can then either copy the
files out of the container onto the host or use the nvidia-docker 1
framework to run programs against GPUs installed on the system.

Addresses #52.

Building and then running nvcomp can be a bit tricky with dependencies
on different versions of cmake and CUDA etc. This commit creates a
Dockerfile which makes it much easier to build the nvcomp library and
benchmarks in a consistent environment. One can then either copy the
files out of the container onto the host or use the nvidia-docker [1]
framework to run programs against GPUs installed on the system.

[1]: https://github.com/NVIDIA/nvidia-docker

Addresses NVIDIA#52.
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github-actions bot commented Mar 9, 2022

This PR has been labeled inactive-30d due to no recent activity in the past 30 days. Please close this PR if it is no longer required. Otherwise, please respond with a comment indicating any updates. This PR will be labeled inactive-90d if there is no activity in the next 60 days.

@mnicely mnicely added this to the 2.3 milestone Mar 24, 2022
@mnicely mnicely requested a review from nsakharnykh March 24, 2022 14:54
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This PR has been labeled inactive-90d due to no recent activity in the past 90 days. Please close this PR if it is no longer required. Otherwise, please respond with a comment indicating any updates.

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2 participants