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Updated user documentation

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caubet_m 2020-05-14 18:21:58 +02:00
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pages/merlin6/03 Job Submission/slurm-examples.md
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@ -103,9 +103,8 @@ srun $MYEXEC # where $MYEXEC is a path to your binary file
In this example, we want to run a Hybrid Job using MPI and OpenMP using hyperthreading. In this job, we want to run 4 MPI In this example, we want to run a Hybrid Job using MPI and OpenMP using hyperthreading. In this job, we want to run 4 MPI
tasks by using 8 CPUs per task. Each task in our example requires 128GB of memory. Then we specify 16000MB per CPU tasks by using 8 CPUs per task. Each task in our example requires 128GB of memory. Then we specify 16000MB per CPU
(8 x 16000MB = 128000MB). Notice that since hyperthreading is enabled, Slurm will use 4 cores per task (2 threads per core). (8 x 16000MB = 128000MB). Notice that since hyperthreading is enabled, Slurm will use 4 cores per task (with hyperthreading
Also, always consider that **`'--mem-per-cpu' x '--cpus-per-task'`** can **never** exceed the maximum amount of memory per node 2 threads -a.k.a. Slurm CPUs- fit into a core).
(352000MB).
```bash ```bash
#!/bin/bash -l #!/bin/bash -l
@ -126,13 +125,15 @@ module load $MODULE_NAME # where $MODULE_NAME is a software in PModules
srun $MYEXEC # where $MYEXEC is a path to your binary file srun $MYEXEC # where $MYEXEC is a path to your binary file
``` ```
{{site.data.alerts.tip}} Also, always consider that **`'--mem-per-cpu' x '--cpus-per-task'`** can **never** exceed the maximum amount of memory per node (352000MB).
{{site.data.alerts.end}}
### Example 4: Non-hyperthreaded Hybrid MPI/OpenMP job ### Example 4: Non-hyperthreaded Hybrid MPI/OpenMP job
In this example, we want to run a Hybrid Job using MPI and OpenMP without hyperthreading. In this job, we want to run 4 MPI In this example, we want to run a Hybrid Job using MPI and OpenMP without hyperthreading. In this job, we want to run 4 MPI
tasks by using 8 CPUs per task. Each task in our example requires 128GB of memory. Then we specify 16000MB per CPU tasks by using 8 CPUs per task. Each task in our example requires 128GB of memory. Then we specify 16000MB per CPU
(8 x 16000MB = 128000MB). Notice that since hyperthreading is disabled, Slurm will use 8 cores per task (1 thread per core). (8 x 16000MB = 128000MB). Notice that since hyperthreading is disabled, Slurm will use 8 cores per task (disabling hyperthreading
Also, always consider that **`'--mem-per-cpu' x '--cpus-per-task'`** can **never** exceed the maximum amount of memory per node we force the use of only 1 thread -a.k.a. 1 CPU- per core).
(352000MB).
```bash ```bash
#!/bin/bash -l #!/bin/bash -l
@ -153,6 +154,9 @@ module load $MODULE_NAME # where $MODULE_NAME is a software in PModules
srun $MYEXEC # where $MYEXEC is a path to your binary file srun $MYEXEC # where $MYEXEC is a path to your binary file
``` ```
{{site.data.alerts.tip}} Also, always consider that **`'--mem-per-cpu' x '--cpus-per-task'`** can **never** exceed the maximum amount of memory per node (352000MB).
{{site.data.alerts.end}}
## Advanced examples ## Advanced examples
### Array Jobs: launching a large number of related jobs ### Array Jobs: launching a large number of related jobs