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Commit 372b3e2a authored by Martin Schroschk's avatar Martin Schroschk
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Review, fix links

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4 merge requests!392Merge preview into contrib guide for browser users,!333Draft: update NGC containers,!327Merge preview into main,!317Jobs and resources
...@@ -43,19 +43,19 @@ automatically select a suitable partition depending on your memory and GPU requi ...@@ -43,19 +43,19 @@ automatically select a suitable partition depending on your memory and GPU requi
### Parallel Jobs ### Parallel Jobs
**MPI jobs:** For MPI jobs typically allocates one core per task. Several nodes could be allocated **MPI jobs:** For MPI jobs typically allocates one core per task. Several nodes could be allocated
if it is necessary. Slurm will automatically find suitable hardware. Normal compute nodes are if it is necessary. The batch system [Slurm](slurm.md) will automatically find suitable hardware.
perfect for this task. Normal compute nodes are perfect for this task.
**OpenMP jobs:** SMP-parallel applications can only run **within a node**, so it is necessary to **OpenMP jobs:** SMP-parallel applications can only run **within a node**, so it is necessary to
include the options `-N 1` and `-n 1`. Using `--cpus-per-task N` Slurm will start one task and you include the [batch system](slurm.md) options `-N 1` and `-n 1`. Using `--cpus-per-task N` Slurm will
will have N CPUs. The maximum number of processors for an SMP-parallel program is 896 on Taurus start one task and you will have `N` CPUs. The maximum number of processors for an SMP-parallel
([SMP]**todo link** island). program is 896 on [partition `julia`](partitions_and_limits.md).
**GPUs** partitions are best suited for **repetitive** and **highly-parallel** computing tasks. If **GPUs** partitions are best suited for **repetitive** and **highly-parallel** computing tasks. If
you have a task with potential [data parallelism]**todo link** most likely that you need the GPUs. you have a task with potential [data parallelism](../software/gpu_programming.md) most likely that
Beyond video rendering, GPUs excel in tasks such as machine learning, financial simulations and risk you need the GPUs. Beyond video rendering, GPUs excel in tasks such as machine learning, financial
modeling. Use the gpu2 and ml partition only if you need GPUs! Otherwise using the x86 partitions simulations and risk modeling. Use the partitions `gpu2` and `ml` only if you need GPUs! Otherwise
(e.g Haswell) most likely would be more beneficial. using the x86-based partitions most likely would be more beneficial.
**Interactive jobs:** Slurm can forward your X11 credentials to the first node (or even all) for a job **Interactive jobs:** Slurm can forward your X11 credentials to the first node (or even all) for a job
with the `--x11` option. To use an interactive job you have to specify `-X` flag for the ssh login. with the `--x11` option. To use an interactive job you have to specify `-X` flag for the ssh login.
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