Michał Dzikowski

There are legal issues with that. Do we have any info about how many copies of the code are used beside people we know? Some statistics could be implemented, and...

I would vote for outer layer be done in python/bash/ruby as those are designed for it. It would also make integration into something "bigger" easier? I've successfully created docker.io image...

Multiple inheritances is (i think) done by docker-compose. Using docker images might be useful if one intends to do something inside Amazon AWS, but I only intend to create an...

(nvidia-docker is workable with AWS)

I've done some digging One of the "proper" ways to distribute could be singularity image (https://sylabs.io/singularity/). It is somehow close to docker, but in scientific software in mind. - it...

I'll try The goal is to have (as far as I _feel_ syntax): ```bash $ module load singularity $ singularity pull somehost/tclb.sif $ singularity run tclb-gcc.sif d2q9 ~/test/karman.xml ```

Nie summary: https://tin6150.github.io/psg/blogger_container_hpc.html

hay, i've got this ```bash singularity pull library://mdzik/tclb/tclb:latest singularity verify ./tclb_latest.sif ``` then to use build-in TCLB: ``` singularity exec --nv ./tclb_latest.sif /opt/TCLB_gpu/TCLB/CLB/d2q9/main /opt/TCLB_gpu/TCLB/example/flow/2d/karman.xml ``` or to use in-container shell,...

add 1 - not yet, but singularity is there, so it should be ok add 2 - yes, but might need some scripting (some of them are avealible from singularity)...

for CUDA you need -nv flag ``` mpirun singularity exec -nv tclb.sif TCLB/CLB/d2q9/main file.xml ``` @ggruszczynski - this is infiniband failure, there must be some mismatch of versions or ABI-incompatibility...