From 372b3e2ad9f9b2eb4a53fbb4df764dc2212ff05f Mon Sep 17 00:00:00 2001 From: Martin Schroschk <martin.schroschk@tu-dresden.de> Date: Tue, 28 Sep 2021 22:02:07 +0200 Subject: [PATCH] Review, fix links --- .../docs/jobs_and_resources/overview.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/doc.zih.tu-dresden.de/docs/jobs_and_resources/overview.md b/doc.zih.tu-dresden.de/docs/jobs_and_resources/overview.md index 06a9fcad3..0f068f906 100644 --- a/doc.zih.tu-dresden.de/docs/jobs_and_resources/overview.md +++ b/doc.zih.tu-dresden.de/docs/jobs_and_resources/overview.md @@ -43,19 +43,19 @@ automatically select a suitable partition depending on your memory and GPU requi ### Parallel Jobs **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 -perfect for this task. +if it is necessary. The batch system [Slurm](slurm.md) will automatically find suitable hardware. +Normal compute nodes are perfect for this task. **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 -will have N CPUs. The maximum number of processors for an SMP-parallel program is 896 on Taurus -([SMP]**todo link** island). +include the [batch system](slurm.md) options `-N 1` and `-n 1`. Using `--cpus-per-task N` Slurm will +start one task and you will have `N` CPUs. The maximum number of processors for an SMP-parallel +program is 896 on [partition `julia`](partitions_and_limits.md). **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. -Beyond video rendering, GPUs excel in tasks such as machine learning, financial simulations and risk -modeling. Use the gpu2 and ml partition only if you need GPUs! Otherwise using the x86 partitions -(e.g Haswell) most likely would be more beneficial. +you have a task with potential [data parallelism](../software/gpu_programming.md) most likely that +you need the GPUs. Beyond video rendering, GPUs excel in tasks such as machine learning, financial +simulations and risk modeling. Use the partitions `gpu2` and `ml` only if you need GPUs! Otherwise +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 with the `--x11` option. To use an interactive job you have to specify `-X` flag for the ssh login. -- GitLab