1/17/2024 0 Comments Vmd filesInfo) Detected 2 available CUDA accelerators: Info) Creating CUDA device pool and initializing hardware. Info) Multithreading available, 56 CPUs detected. Info) Email questions and bug reports to Please include this reference in published work using VMD: Upon success, you will see the VMD command-line interface: Info) VMD for LINUXARM64, version 1.9.4a44 (June 25, 2020) Run VMD with the image: $ singularity exec -nv -B : vmd:1.9.4a44.sif vmd To build a singularity image run this: $ singularity build vmd:1.9.4a44.sif nvcr.io/hpc/vmd:1.9.4a44 More information about obtaining and using an NVIDIA NGC Cloud Services API key can be found here. To check the currently installed Singularity version, use: $ singularity -versionīefore running with singularity, configure NGC container registry authentication credentials via these environment variables: $ export SINGULARITY_DOCKER_USERNAME='$oauthtoken' This image was verified on Singularity version 3.X.Y. docker run -ti -gpus all -rm -v $(pwd):/workspace nvcr.io/hpc/vmd:1.9.4a44Īfter the container starts you will be in the / directory and, you can then change to /workspace and run VMD manually vmd -dispdev openglpbuffer -e xxxx.vmd (see the -v options on the command below to set the mapping of your local data directory to the one inside the container). To run the VMD container interactively, issue the following command which starts the container and also mounts your current directory to /workspace so it is available inside the container. Running interactively is useful when using VMD for visualization and analysis tasks that may involve external scripting of VMD runs, significant file management within complex directory hierarchies, or when running multiple VMD instances run within the same container and OS image. In this example, we will run VMD interactively and reproduce an H1N1 test scene included within the container. docker run -ti -gpus all -rm -v $(pwd):/workspace nvcr.io/hpc/vmd:1.9.4a44 vmd -dispdev openglpbuffer -e /workspace/xxx.vmd The script below starts the VMD container and runs the xxx.vmd script from your workspace directory. Note you could also point the CLI command to launch VMD on a script located in your working directory instead. The current working directory accessible within the container as "/workspace": docker run -ti -gpus all -rm -v $(pwd):/workspace nvcr.io/hpc/vmd:1.9.4a44 vmd To run the VMD container from the CLI, issue the following command, which runs VMD and makes You can run the VMD container interactively within the container.You can run VMD directly from the docker run command.There are two options to run the VMD container. Pascal(sm60), Volta(sm70), or Ampere (sm80) NVIDIA GPU(s).One of the following container runtimes.System requirementsīefore running the NGC RELION container please ensure your system meets the following requirements. See here for a document describing the steps to pull NGC containers. See here for a document describing prerequisites and setup steps for all HPC containers. VMD, tutorials, and documentation are available at While VMD is typically used interactively in a desktop graphical environment, it can also be used to perform non-interactive (batch mode) analytical calculations and visualization tasks run on both workstations (or single cluster nodes) and in parallel on distributed memory clusters and supercomputers using MPI. In particular, VMD can act as a graphical front end for an external MD program by displaying and animating a molecule undergoing simulation on a local or remote computer. VMD can be used to animate and analyze the trajectory of a molecular dynamics (MD) simulation. VMD provides a wide variety of graphical representations for visualizing and coloring molecular structures: molecular surfaces, space-filling CPK spheres and cylinders, licorice bonds, backbone tubes, and ribbons, secondary structure cartoons, and others. VMD is designed for modeling, visualization, and analysis of biomolecular systems such as proteins, nucleic acids, lipid membranes, carbohydrate structures, etc.
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