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Client-Server Setup
Simcenter STAR-CCM+ uses a client-server architecture in which the simulation objects are created on the server and the client provides access to these objects for setup and display.
Working With Parallel Servers
A parallel computation is one where the work is computed by more than one process.
Using Batch Management Systems
Batch systems manage the allocation of computational jobs to a single large computer or a cluster of smaller computers.
Using Windows Server 2012 R2 or Later With HPC Pack

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Client-Server Setup
Simcenter STAR-CCM+ uses a client-server architecture in which the simulation objects are created on the server and the client provides access to these objects for setup and display.
- Client-Server Connections
  Simcenter STAR-CCM+ allows you to connect a client to any running server for which you have access, and also to disconnect clients when you choose. The client version must match the server version for a successful connection. Secure connections require additional inputs.
- Mixed or Double Precision
  Simcenter STAR-CCM+ comes in two versions: a mixed precision version and a double precision version. Both versions are provided on the download area of the Support Center portal.
- Running Simcenter STAR-CCM+ on Linux ARM64
  Simcenter STAR-CCM+ is supported on Linux ARM64 for running simulations in batch mode. The graphical user interface (GUI) is not officially supported in this release. Some other restrictions are in place for this platform, including unsupported modules.
- Launching Simcenter STAR-CCM+ and Working With Simulations
  A Simcenter STAR-CCM+ simulation exists on a server, and is accessed by connecting a client to the server on which the simulation exists.
- Working With Parallel Servers
  A parallel computation is one where the work is computed by more than one process.
  - Parallel Servers and Requirements
    A parallel server is a Simcenter STAR-CCM+ server that is set to run on multiple cores or a cluster of machines when it is first launched.
  - Supported MPI Implementations
    Regardless of whether you use a local multi-core workstation, remote machines, or a remote cluster to run your parallel server, all approaches require an implementation of the Message Passing Interface (MPI).
  - Using a Local Multi-Core Workstation
  - Using a Remote Multi-Core Workstation
  - Using a Group of Machines
  - Troubleshooting Parallel Servers and MPI
    This section contains some troubleshooting tips when working with parallel servers and MPI distributions.
  - Balancing
  - Getting Parallel Help through the Command Line
    You can get information on the parallel options through the command line.
  - Viewing the Partitioning
  - Using Batch Management Systems
    Batch systems manage the allocation of computational jobs to a single large computer or a cluster of smaller computers.
    - Working in Unix-Based Batch Systems
      Simcenter STAR-CCM+ helps you interact with a number of batch systems. The -batchsystem <system> command-line argument automatically detects resources allocated by the batch system and forwards them to Simcenter STAR-CCM+—that is, machinefile/hosts, the number of processes, and processes per node.
    - Using SLURM
      By specifying -batchsystem slurm on the command line, Simcenter STAR-CCM+ automatically distributes processes to all CPUs/cores allocated to the job.
    - Using PBS
      By specifying -batchsystem pbs on the command line, Simcenter STAR-CCM+ automatically distributes processes to all CPUs/cores allocated to the job.
    - Using LSF
      By specifying -batchsystem lsf on the command line, Simcenter STAR-CCM+ automatically distributes processes to all CPUs/cores allocated to the job.
    - Using Grid Engine
      By specifying -batchsystem ge on the command line, Simcenter STAR-CCM+ automatically distributes processes to all CPUs/cores allocated to the job.
    - Using Windows Server 2012 R2 or Later With HPC Pack
  - Vectorization
    Simcenter STAR-CCM+ uses AVX-2 instructions on all Xeon processors that support the AVX-2 instruction set—currently, the Haswell, Broadwell, and Skylake processors.
  - Running Distributed Parallel Simulations on Multiple Windows Machines
- GPGPU Computation
  The idea behind general-purpose computing on graphics processing units (GPGPU computation) is that you assign computations that are traditionally solved on a CPU (central processing unit) to a graphics processing unit (GPU). The nature of operations on the GPU means that a single unit can deliver computational performance comparable to using many CPUs in parallel. GPGPU computation is only supported for Simcenter STAR-CCM+ servers running under Linux.
- Teamcenter Share
  Teamcenter Share is a collaboration platform that you can access directly within the Simcenter STAR-CCM+ workspace as well as in a web browser. Teamcenter Share allows you to upload and share simulation files and related data, such as Viewer (.sce) files. Through the integration within Simcenter STAR-CCM+, you can download and open files from this platform.
- Command-Line Reference

Using Windows Server 2012 R2 or Later With HPC Pack

Simcenter STAR-CCM+ batch jobs can be submitted to the Windows Server 2012 job scheduler interactively or using the -msjob option. Parallel jobs that are submitted to the job scheduler use MS-MPI by default. Before you can submit a batch job to the Windows job scheduler, register your credentials. See Registering Your Credentials on Windows Server 2012.

To submit the job:

[INSTALL PATH]\star\bin\starccm+.bat -msjob [STAR-CCM+ options] -batch [PATH TO SIMULATION FILE]\simfile.sim

The working directory, standard output, and standard error are set to the directory that the simulation file is in.

If the job is successfully submitted, the job scheduler prints the job ID:

Job has been submitted. ID: 230.