Optimize uwgac/topmed-master:2.6.0

[ghost]

Hi folks! Is there a way you could reduce the size/reduce the number of layers for the docker image at uwgac/topmed-master:2.6.0. It takes a bit of time to download the image even if it's not so large, and I wonder if the number of layers contributes to that? Thank you! -Kaushk

[rollinroy]

Hi Kaushik, The number of layers don't necessarily make the download slower (the number of layers can make the download faster for a couple of reasons: (1) layers can be downloaded in parallel (see https://stackoverflow.com/questions/43479614/docker-parallel-operations-limit) and (2) when a docker image is updated, only the layers that have changed will be downloaded if you execute a docker pull command). However, we could probably shave off 500MB. We currently build two versions of R and the R packages: one for the sequential version of MKL (Intel's Math Kernel Library) and one for the parallel version of MKL. But I don't think that would improve the download performance by much. cheers, roy

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On Mon, May 18, 2020 at 7:59 AM Kaushik Ghose ***@***.***> wrote: Hi folks! Is there a way you could reduce the size/reduce the number of layers for the docker image at uwgac/topmed-master:2.6.0. It takes a bit of time to download the image even if it's not so large, and I wonder if the number of layers contributes to that? Thank you! -Kaushk — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#30>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ADC7JAJWJWP7HJGSFHZOKKTRSFEMNANCNFSM4NEFAKPQ> .