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ZIH
hpcsupport
hpc-compendium
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372b3e2a
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372b3e2a
authored
3 years ago
by
Martin Schroschk
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Jobs and resources
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372b3e2a
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@@ -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**
islan
d).
program is 896 on
[
partition `julia`
](
partitions_and_limits.m
d
)
.
**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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