●    Singularity as a tool has proven to be

●    extremely flexible
●    easy to learn
●    sysadmin friendly

●     Singularity can access docker, singularity or local repositories (managed by sysadmins or CAPRI users): it's a huge amount of software!

●     Software management is made by you

●     By using it you create tools and know-how for you and your collaborators

Domain Adaptation for Semantic Segmentation (DEI)

●    […] We plan to exploit recent deep learning architectures on large images, thus we would highly benefit from most performing GPUs with many CUDA cores…

●    Python 3.6.7 (2.X is still default on most linuxes)
●    TensorFlow-GPU 1.12.0
●    CUDA Toolkit 9.0 
●    OpenCV 3.4.2
●    Matplotlib 3.0.2
●    Six 1.12.0
●    Numpy 1.15.4
●    Pandas 0.24.2
●    Keras 2.2.4
●    Scikit-Learn 0.20.2
●    Scipy 1.2.1

• What does your workflow look like?

Interactive Development                                           

sudo singularity build --sandbox tmpdir/Singularity

sudo singularity build --writable container.img Singularity

Build from Recipe

sudo singularity build container.img Singularity

Build from Singularity

sudo singularity build container.img shub://vsoch/hello-world

• Do you need to run a different operating system entirely?

$ cat /etc/os-release
NAME="SLES"
VERSION="15"
VERSION_ID="15"
PRETTY_NAME="SUSE Linux Enterprise Server 15" ID="sles"
ID_LIKE="suse"
ANSI_COLOR="0;32"
CPE_NAME="cpe:/o:suse:sles:15"