From c812945a014eb2a5a95ed95486cb24ea868c8f9f Mon Sep 17 00:00:00 2001 From: Christoph Lehmann <christoph.lehmann@tu-dresden.de> Date: Mon, 30 Aug 2021 15:21:23 +0200 Subject: [PATCH] software/machine_learning.md: some polishing --- .../docs/software/machine_learning.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/doc.zih.tu-dresden.de/docs/software/machine_learning.md b/doc.zih.tu-dresden.de/docs/software/machine_learning.md index e3a84c96c..3525a0fd9 100644 --- a/doc.zih.tu-dresden.de/docs/software/machine_learning.md +++ b/doc.zih.tu-dresden.de/docs/software/machine_learning.md @@ -1,9 +1,9 @@ # Machine Learning This is an introduction of how to run machine learning applications on ZIH systems. -For machine learning purposes, we recommend to use the **Alpha** and/or **ML** partitions. +For machine learning purposes, we recommend to use the [Alpha](#alpha-partition) and/or [ML](#ml-partition) partitions. -## ML partition +## ML Partition The compute nodes of the ML partition are built on the base of [Power9](https://www.ibm.com/it-infrastructure/power/power9) architecture from IBM. The system was created for AI challenges, analytics and working with @@ -79,7 +79,7 @@ After accessing JupyterHub, you can start a new session and configure it. For ma purposes, select either **Alpha** or **ML** partition and the resources, your application requires. In your session you can use [Python](../data_analytics_with_python/#jupyter-notebooks), [R](../data_analytics_with_r/#r-in-jupyterhub) -or [R studio](data_analytics_with_rstudio) for your machine learning and data science topics. +or [R studio](../data_analytics_with_rstudio/) for your machine learning and data science topics. ## Machine Learning with Containers @@ -112,7 +112,7 @@ marie@ml$ singularity run --nv my-ML-container.sif #run my-ML-container.sif c The following NVIDIA libraries are available on all nodes: -| | | +| Name | Path | |-------|-----------------------------------------| | NCCL | `/usr/local/cuda/targets/ppc64le-linux` | | cuDNN | `/usr/local/cuda/targets/ppc64le-linux` | @@ -129,7 +129,7 @@ marie@compute$ export NCCL_MIN_NRINGS=4 The following HPC related software is installed on all nodes: -| | | +| Name | Path | |------------------|--------------------------| | IBM Spectrum MPI | `/opt/ibm/spectrum_mpi/` | | PGI compiler | `/opt/pgi/` | -- GitLab