{"id":1800,"date":"2023-12-09T08:51:31","date_gmt":"2023-12-09T08:51:31","guid":{"rendered":"https:\/\/www.edih-rheinland.eu\/?p=1800"},"modified":"2024-12-09T15:20:21","modified_gmt":"2024-12-09T15:20:21","slug":"nhr4ces-maschinelles-lernen","status":"publish","type":"post","link":"https:\/\/www.edih-rheinland.eu\/en\/nhr4ces-maschinelles-lernen\/","title":{"rendered":"NHR4CES: Machine Learning on HPC"},"content":{"rendered":"

Our consortium member IT Center is organizing an HPC workshop from December 9th till 11th, 2024<\/h1>\n

It will include \"Machine Learning (ML) on NVIDIA GPUs\" with \"High Performance Computing\"reference<\/span><\/h3>\n<\/div><\/div><\/div>
\"NHR4CES:<\/div><\/div><\/div><\/div><\/div><\/div>

Machine Learning on HPC clusters with NVIDIA Chips<\/h2>\n

The annual event aiXcelerate at the RWTH Aachen (NHR4CES@RWTH) is a Tuning Workshop for HPC users<\/strong>. It consists of lectures, that are accessible for everybody<\/strong> accessible and practical Parts, in which (invited) groups of the learned concepts can apply to your own code. This year aiXcelerate treated the topic of "Machine Learning (ML) on NVIDIA GPUs" and focuses on the Use of the GPUs of the RWTH HPC-cluster "CLAIX"<\/strong> with Frameworks like PyTorch or tensor flow<\/strong>. The Workshop provides insights into the Performance analysis and Performance Tuning of ML code.<\/em><\/p>\n

It is not an introduction to Machine Learning<\/em>!<\/p>\n

The lectures are distributed to the morning sessions of the three days of aiXcelerate. The theme of the first day is "Analyzing the Performance of ML code" and includes the use of the automatically running RWTH Performance Monitoring system, as well as the use of NVIDIA's Nsight Tool and how to find bottlenecks. The second day is focused on "scaling of ML code on multiple GPUs\/node". Here approaches with PyTorch (Distributed) and tensor flow + Horovod are presented, in order to accelerate ML of Codes by the parallel use of more Hardware. On the third day, we will be working with the "dealing with data sets of ML code". We will present different options to the storage and use of ML data at runtime (on CLAIX). In addition, the use of Check-Pointing in ML is presented Codes.<\/p>\n

aiXcelerate is carried out with the support of NVIDIA. The Catering is sponsored by the NEC and NVIDIA.<\/p>\n

When: From 09. \u2013 11. December 2024, from 9:00 \u2013 17:30<\/p>\n

Where: seminar room 003\/004, IT Center, Kopernikusstra\u00dfe 6<\/span><\/span>, 52074 Aachen, Germany
\nOnline: over Zoom\/Webex<\/p>\n

The event is free of charge<\/strong>!<\/p>\n

Please register here<\/a>.<\/strong><\/p>\n

For more information have a look on the website of IT center<\/a>.<\/p>\n

Agenda
\nDay 1: \u201cAnalyzing the Performance of ML code\u201d
\nDay 2: \u201cScaling ML of code across Multiple GPUs\/ Node\u201d
\nDay 3: \u201cHandling Datasets of ML code\u201d<\/p>\n

Requirements:<\/p>\n