145 lines
5.6 KiB
Markdown
145 lines
5.6 KiB
Markdown
---
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title: ANSYS / CFX
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#tags:
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keywords: software, ansys, cfx5, cfx, slurm, interactive, rsm, batch job
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last_updated: 07 September 2022
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summary: "This document describes how to run ANSYS/CFX in the Merlin6 cluster"
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sidebar: merlin6_sidebar
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permalink: /merlin6/ansys-cfx.html
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---
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This document describes the different ways for running **ANSYS/CFX**
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## ANSYS/CFX
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Is always recommended to check which parameters are available in CFX and adapt the below examples according to your needs.
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For that, run `cfx5solve -help` for getting a list of options.
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## Running CFX jobs
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### PModules
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Is strongly recommended the use of the latest ANSYS software available in PModules.
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```bash
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module use unstable
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module load Pmodules/1.1.6
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module use overlay_merlin
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module load ANSYS/2022R1
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```
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### Interactive: RSM from remote PSI Workstations
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Is possible to run CFX through RSM from remote PSI (Linux or Windows) Workstation having a local installation of ANSYS CFX and RSM client.
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For that, please refer to the ***[ANSYS RSM]*(/merlin6/ansys-rsm.html)** in the Merlin documentation for further information of how to setup a RSM client for submitting jobs to Merlin.
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### Non-interactive: sbatch
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Running jobs with `sbatch` is always the recommended method. This makes the use of the resources more efficient. Notice that for
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running non interactive Mechanical APDL jobs one must specify the `-batch` option.
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#### Serial example
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This example shows a very basic serial job.
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```bash
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#!/bin/bash
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#SBATCH --job-name=CFX # Job Name
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#SBATCH --partition=hourly # Using 'daily' will grant higher priority than 'general'
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#SBATCH --time=0-01:00:00 # Time needed for running the job. Must match with 'partition' limits.
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#SBATCH --cpus-per-task=1 # Double if hyperthreading enabled
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#SBATCH --ntasks-per-core=1 # Double if hyperthreading enabled
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#SBATCH --hint=nomultithread # Disable Hyperthreading
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#SBATCH --error=slurm-%j.err # Define your error file
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module use unstable
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module load ANSYS/2020R1-1
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# [Optional:BEGIN] Specify your license server if this is not 'lic-ansys.psi.ch'
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LICENSE_SERVER=<your_license_server>
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export ANSYSLMD_LICENSE_FILE=1055@$LICENSE_SERVER
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export ANSYSLI_SERVERS=2325@$LICENSE_SERVER
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# [Optional:END]
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SOLVER_FILE=/data/user/caubet_m/CFX5/mysolver.in
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cfx5solve -batch -def "$JOURNAL_FILE"
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```
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One can enable hypertheading by defining `--hint=multithread`, `--cpus-per-task=2` and `--ntasks-per-core=2`.
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However, this is in general not recommended, unless one can ensure that can be beneficial.
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#### MPI-based example
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An example for running CFX using a Slurm batch script is the following:
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```bash
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#!/bin/bash
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#SBATCH --job-name=CFX # Job Name
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#SBATCH --partition=hourly # Using 'daily' will grant higher priority than 'general'
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#SBATCH --time=0-01:00:00 # Time needed for running the job. Must match with 'partition' limits.
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#SBATCH --nodes=1 # Number of nodes
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#SBATCH --ntasks=44 # Number of tasks
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#SBATCH --cpus-per-task=1 # Double if hyperthreading enabled
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#SBATCH --ntasks-per-core=1 # Double if hyperthreading enabled
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#SBATCH --hint=nomultithread # Disable Hyperthreading
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#SBATCH --error=slurm-%j.err # Define a file for standard error messages
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##SBATCH --exclusive # Uncomment if you want exclusive usage of the nodes
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module use unstable
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module load ANSYS/2020R1-1
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# [Optional:BEGIN] Specify your license server if this is not 'lic-ansys.psi.ch'
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LICENSE_SERVER=<your_license_server>
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export ANSYSLMD_LICENSE_FILE=1055@$LICENSE_SERVER
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export ANSYSLI_SERVERS=2325@$LICENSE_SERVER
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# [Optional:END]
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export HOSTLIST=$(scontrol show hostname | tr '\n' ',' | sed 's/,$//g')
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JOURNAL_FILE=myjournal.in
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# INTELMPI=no for IBM MPI
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# INTELMPI=yes for INTEL MPI
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INTELMPI=no
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if [ "$INTELMPI" == "yes" ]
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then
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export I_MPI_DEBUG=4
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export I_MPI_PIN_CELL=core
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# Simple example: cfx5solve -batch -def "$JOURNAL_FILE" -par-dist "$HOSTLIST" \
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# -part $SLURM_NTASKS \
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# -start-method 'Intel MPI Distributed Parallel'
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cfx5solve -batch -part-large -double -verbose -def "$JOURNAL_FILE" -par-dist "$HOSTLIST" \
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-part $SLURM_NTASKS -par-local -start-method 'Intel MPI Distributed Parallel'
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else
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# Simple example: cfx5solve -batch -def "$JOURNAL_FILE" -par-dist "$HOSTLIST" \
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# -part $SLURM_NTASKS \
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# -start-method 'IBM MPI Distributed Parallel'
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cfx5solve -batch -part-large -double -verbose -def "$JOURNAL_FILE" -par-dist "$HOSTLIST" \
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-part $SLURM_NTASKS -par-local -start-method 'IBM MPI Distributed Parallel'
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fi
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```
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In the above example, one can increase the number of *nodes* and/or *ntasks* if needed and combine it
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with `--exclusive` whenever needed. In general, **no hypertheading** is recommended for MPI based jobs.
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Also, one can combine it with `--exclusive` when necessary. Finally, one can change the MPI technology in `-start-method`
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(check CFX documentation for possible values).
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## CFX5 Launcher: CFD-Pre/Post, Solve Manager, TurboGrid
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Some users might need to visualize or change some parameters when running calculations with the CFX Solver. For running
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**TurboGrid**, **CFX-Pre**, **CFX-Solver Manager** or **CFD-Post** one should run it with the **`cfx5` launcher** binary:
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```bash
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cfx5
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```
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![CFX5 Launcher Example]({{ "/images/ANSYS/cfx5launcher.png" }})
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Then, from the launcher, one can open the proper application (i.e. **CFX-Solver Manager** for visualizing and modifying an
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existing job run)
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For running CFX5 Launcher, is required a proper SSH + X11 Forwarding access (`ssh -XY`) or *preferrible* **NoMachine**.
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If **ssh** does not work for you, please use **NoMachine** instead (which is the supported X based access, and simpler).
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