Training on data analytics, big data and machine learning workflows at LRZ
In addition to supporting traditional HPC applications, the Leibniz Supercomputing Centre (LRZ) is offering systems and services to address the increasing demand of data analytics, big data and machine learning workflows. In a series of trainings, we will provide introductory courses for researchers and students who want to utilize LRZ resources for tasks of this nature.
The "opening session" on Tuesday, April 9th will provide an "Introduction to the LRZ Supercomputing & Machine Learning Infrastructure". Attending this full day course will give you an overview of the high performance computing hardware and software services available at LRZ and you will learn how to utilize these systems, focusing on different machine learning tools and applications.
For further details and registration, please see https://www.lrz.de/services/compute/courses/2019-04-09_hsmi1s19/
A follow-up training on Wednesday, April 10th will take a deep-dive into "Using R at LRZ". This full day workshop will illustrate the different possibilities of utilizing R for data analytics and machine learning tasks on various LRZ systems by providing guidelines and best practice examples.
For further details and registration, please see https://www.lrz.de/services/compute/courses/2019-04-10_hurl1s19/
On Thursday, April 11th an Intel Artificial Intelligence Workshop will highlight the usage of Intel's optimized performance libraries underneath popular machine learning frameworks. The workshop includes hands-on sessions around classical machine learning as well as deep learning on HPC systems. Besides introducing the transparent usage of performance libraries, the focus will be to empower participants to scale their deep learning (TensorFlow) application training on distributed HPC systems.
For further details and registration, please see https://www.lrz.de/services/compute/courses/2019-04-11_hiai1s19/
Finally, on Friday, April 12th we will offer a "Using Python at LRZ" workshop. In this refresher course, different Python topics of interest to data analytics/machine learning practitioners and distinctive use cases of high performance computing environments will be covered.
For further details and registration, please see https://www.lrz.de/services/compute/courses/2019-04-12_hupl1s19/
If you have any questions regarding these trainings prior to registration, feel free to contact Dr. Johannes Albert-von der Gönna (email@example.com).
Information on further HPC courses:
- by LRZ: http://www.lrz.de/services/compute/courses/
- by the Gauss Centre of Supercomputing (GCS): http://www.gauss-centre.eu/training
- by German Centres (collected by the Gauß-Allianz): https://hpc-calendar.gauss-allianz.de/
- by the Partnership for Advanced Computing in Europe (PRACE): http://www.training.prace-ri.eu/
Please also pass this course announcement to other interested colleagues.