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nlesc-dirac / sagecal

SAGECal is a fast, memory efficient and GPU accelerated radio interferometric calibration program. It supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Both spectral and spatial priors can be used as constraints. Tools to build/restore sky models are included.
http://sagecal.sourceforge.net
GNU General Public License v2.0
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Check GPU support in CI #96

Closed fdiblen closed 2 years ago

fdiblen commented 5 years ago

GPU support should also be tested in CI. Related to #94

aktech commented 3 years ago

Hi @fdiblen I am the creator of Cirun.io, "GPU" and "CI" caught my eye.

FWIW I'll share my two cents. I created a service for problems like these, which is basically running custom machines (including GPUs) in GitHub Actions: https://cirun.io/

It is used in multiple open source projects needing GPU support like the following:

https://github.com/pystatgen/sgkit/ https://github.com/qutip/qutip-cupy

It is fairly simple to setup, all you need is a cloud account (AWS or GCP) and a simple yaml file describing what kind of machines you need and Cirun will spin up ephemeral machines on your cloud for GitHub Actions to run. It's native to GitHub ecosystem, which mean you can see logs/trigger in the Github's interface itself, just like any Github Action run.

Also, note that Cirun is free for Open source projects. (You only pay to your cloud provider for machine usage)

SarodYatawatta commented 2 years ago

This issue is fixed by CircleCI, see https://app.circleci.com/pipelines/github/nlesc-dirac/sagecal