Difference between revisions of "LS-DYNA"
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| − | + | ==Application Details== | |
| + | * Description: | ||
* Versions: V17.0, V17.2 | * Versions: V17.0, V17.2 | ||
| − | * Module names: ansys/v170, ansys/v172 | + | * Module names: ansys/v170, ansys/v172, ansys/182 and ansys/v193 |
| − | * License: | + | * License: Closed |
| − | + | ||
| + | ==Usage Examples== | ||
===Job Submission Script=== | ===Job Submission Script=== | ||
| − | <pre style="background-color: # | + | |
| + | <pre style="background-color: #E5E4E2; color: black; font-family: monospace, sans-serif;"> | ||
#!/bin/bash | #!/bin/bash | ||
| − | #SBATCH -c | + | #SBATCH -c 1 # Number of CPUS per Node, Must be set to 1 |
| − | #SBATCH --mem-per-cpu=4G | + | #SBATCH --mem-per-cpu=4G # Sets memory per CPU to 4GB |
| − | #SBATCH -J LS-DYNA # Name of Job | + | #SBATCH -J LS-DYNA # Name of Job |
| − | #SBATCH - | + | #SBATCH -p compute # Use compute partition |
| − | # | + | #SBATCH -o %N.%j.%a.out # Output file name |
| − | #SBATCH -o %N.%j.%a.out | + | #SBATCH -e %N.%j.%a.err # Error file name |
| − | #SBATCH -e %N.%j.%a.err | + | #SBATCH --mail-user=your email address here |
| + | # Remove all loaded modules | ||
| + | module purge | ||
| − | module | + | # Load Ansys V17.2 & Intel MPI |
| + | module add ansys/v172 | ||
| + | module add intel/mpi/64/5.1.3.181 | ||
| − | + | # Divide memory between cores | |
| − | + | memory=$(($SLURM_MEM_PER_CPU/8)) | |
| − | memory=$ | + | # This is the run command Note i specifies the input file, memory the memory available and ncpu the number of CPUs used |
| + | lsdyna i=all.k memory=${memory}M ncpu=$SLURM_CPUS_PER_TASK | ||
| + | </pre> | ||
| + | <pre style="background-color: #000000; color: white; border: 2px solid black; font-family: monospace, sans-serif;"> | ||
| + | [username@login01 lsdyna5]$ sbatch ls-dyna.job | ||
| + | Submitted batch job 306050 | ||
| + | </pre> | ||
| − | + | ===Parallel Processing Options=== | |
| + | There are two approaches to using multiple processing cores within a node with LS-DYNA. The first is Shared Memory Parallel processing which uses ncpu=X to define the number of cores to use. The alternative is Massively Parallel Processing (MPP) which uses the flag -np=X. To use MPP, you also need to use the -dis flag to enable distributed processing. The difference between these settings for one sample job can be seen below: | ||
| + | <pre> | ||
| + | Original run: lsdyna memory=${memory}M i=all.k ncpu=5 | ||
| + | estimated total cpu time = 290065 sec ( 80 hrs 34 mins) | ||
| + | estimated cpu time to complete = 290061 sec ( 80 hrs 34 mins) | ||
| + | estimated total clock time = 59061 sec ( 16 hrs 24 mins) | ||
| + | estimated clock time to complete = 59059 sec ( 16 hrs 24 mins) | ||
| + | |||
| + | Run using -dis flag: lsdyna memory=${memory}M -dis i=all.k ncpu=5 | ||
| + | estimated total cpu time = 38261 sec ( 10 hrs 37 mins) | ||
| + | estimated cpu time to complete = 38260 sec ( 10 hrs 37 mins) | ||
| + | estimated total clock time = 45861 sec ( 12 hrs 44 mins) | ||
| + | estimated clock time to complete = 45859 sec ( 12 hrs 44 mins) | ||
| + | |||
| + | Run using "lsdyna -dis memory=${memory}M pr=aa_r_dy i=all.k -np 5" | ||
| + | estimated total cpu time = 20336 sec ( 5 hrs 38 mins) | ||
| + | estimated cpu time to complete = 20336 sec ( 5 hrs 38 mins) | ||
| + | estimated total clock time = 22135 sec ( 6 hrs 8 mins) | ||
| + | estimated clock time to complete = 22134 sec ( 6 hrs 8 mins) | ||
</pre> | </pre> | ||
| + | |||
| + | ==Further Information== | ||
| + | |||
| + | * Forum Support: [http://hpc.phpbb.hull.ac.uk/viewforum.php?f=10&sid=4bdc913307b103754005e4b827bc8a18 Viper Ansys Forum]<br/> | ||
| + | * Ansys Website: [http://www.ansys.com Ansys] | ||
| + | |||
| + | {{Licensepagenav}} | ||
Latest revision as of 11:21, 16 November 2022
Contents
Application Details
- Description:
- Versions: V17.0, V17.2
- Module names: ansys/v170, ansys/v172, ansys/182 and ansys/v193
- License: Closed
Usage Examples
Job Submission Script
#!/bin/bash
#SBATCH -c 1 # Number of CPUS per Node, Must be set to 1
#SBATCH --mem-per-cpu=4G # Sets memory per CPU to 4GB
#SBATCH -J LS-DYNA # Name of Job
#SBATCH -p compute # Use compute partition
#SBATCH -o %N.%j.%a.out # Output file name
#SBATCH -e %N.%j.%a.err # Error file name
#SBATCH --mail-user=your email address here
# Remove all loaded modules
module purge
# Load Ansys V17.2 & Intel MPI
module add ansys/v172
module add intel/mpi/64/5.1.3.181
# Divide memory between cores
memory=$(($SLURM_MEM_PER_CPU/8))
# This is the run command Note i specifies the input file, memory the memory available and ncpu the number of CPUs used
lsdyna i=all.k memory=${memory}M ncpu=$SLURM_CPUS_PER_TASK
[username@login01 lsdyna5]$ sbatch ls-dyna.job Submitted batch job 306050
Parallel Processing Options
There are two approaches to using multiple processing cores within a node with LS-DYNA. The first is Shared Memory Parallel processing which uses ncpu=X to define the number of cores to use. The alternative is Massively Parallel Processing (MPP) which uses the flag -np=X. To use MPP, you also need to use the -dis flag to enable distributed processing. The difference between these settings for one sample job can be seen below:
Original run: lsdyna memory=${memory}M i=all.k ncpu=5
estimated total cpu time = 290065 sec ( 80 hrs 34 mins)
estimated cpu time to complete = 290061 sec ( 80 hrs 34 mins)
estimated total clock time = 59061 sec ( 16 hrs 24 mins)
estimated clock time to complete = 59059 sec ( 16 hrs 24 mins)
Run using -dis flag: lsdyna memory=${memory}M -dis i=all.k ncpu=5
estimated total cpu time = 38261 sec ( 10 hrs 37 mins)
estimated cpu time to complete = 38260 sec ( 10 hrs 37 mins)
estimated total clock time = 45861 sec ( 12 hrs 44 mins)
estimated clock time to complete = 45859 sec ( 12 hrs 44 mins)
Run using "lsdyna -dis memory=${memory}M pr=aa_r_dy i=all.k -np 5"
estimated total cpu time = 20336 sec ( 5 hrs 38 mins)
estimated cpu time to complete = 20336 sec ( 5 hrs 38 mins)
estimated total clock time = 22135 sec ( 6 hrs 8 mins)
estimated clock time to complete = 22134 sec ( 6 hrs 8 mins)
Further Information
- Forum Support: Viper Ansys Forum
- Ansys Website: Ansys