Using Openblas with R in Reproducible R container

I am using R for a reproducible scientific machine learing & hyperparameter optimizations. I stumble upon the fact that other implementations of blas such openblas/atlas/klm can speedup this costly optimization. But results are slightly different using each blas even if optimization is forced on single thread results deviate from default R.

So I want to try using Docker to contain the experiment. I have multiple questions.

  • automatically start /etc/init script in IBM Bluemix container
  • How to change the ownership of Docker-Tomcat log files?
  • Appending to PATH in a Windows Docker container
  • How can I run docker container without entering into container
  • restarting bitcoin tesnet docker container, error flag '-ti'
  • Tag latest not found in repository on Redhat Enterprise Linux behind proxy server
    1. is it good to compile from source instead of binaries ?

    2. if I compile from source, will it lead to same configuration as debian binaries ?

    3. since results are different for each blas, there is a tool called ReproBLAS from Berkeley, is it good idea to use it with R ?

    4. when you compile R using “–with-blas=-lopenblas” in this case openblas is single threaded or multithreaded ?

  • Running .net core docker image, says application started, but on browsing gives “This site can’t be reached” error
  • How to upload next version of code on amazon AWS which has docker instance?
  • docker restart,exit command, reboot the host machine
  • “update --memory” can not work
  • How can I make /etc/hosts writable by root in a Docker Container?
  • How can I expose the dynamic $PORT from Heroku in a Dockerfile?
  • Docker will be the best open platform for developers and sysadmins to build, ship, and run distributed applications.