In order to enable an iCal export link, your account needs to have an API key created. This key enables other applications to access data from within Indico even when you are neither using nor logged into the Indico system yourself with the link provided. Once created, you can manage your key at any time by going to 'My Profile' and looking under the tab entitled 'HTTP API'. Further information about HTTP API keys can be found in the Indico documentation.
Additionally to having an API key associated with your account, exporting private event information requires the usage of a persistent signature. This enables API URLs which do not expire after a few minutes so while the setting is active, anyone in possession of the link provided can access the information. Due to this, it is extremely important that you keep these links private and for your use only. If you think someone else may have acquired access to a link using this key in the future, you must immediately create a new key pair on the 'My Profile' page under the 'HTTP API' and update the iCalendar links afterwards.
Permanent link for public information only:
Permanent link for all public and protected information:
mostly related to performance engineering at the node-level, i.e., excluding MPI
topology, affinity, pinning
hardware performance counter, patterns
This will include an hands-on on the cluster systems of PC².
The couse assumes:
basic knowledge of the Linux shell. We provide a short online selftest. In case you have no experience with Linux, we recommend that you attend our next Linux Introduction Course
basic knowledge of workload managers (esp. Slurm) and jobscripts. We provide a short online selftest. In case you have no experience with workload manager on clusters, we recommend that you attend our next HPC Introduction Course.
knowledge of HPC system architecture, profiling and scaling analysis. Additionally, a little bit of programming knowledge (Fortran or C++) is required. We provide a short online selftest. In case you have no experience with the architechture of modern HPC compute nodes, we recommend that you attend our next course on Advanced Topics of HPC.
The language of the course is planned to be English. If you don't feel comfortable enough with English we can make this course also in German at a later date upon request.
For the hands-on part of the course the participants should bring their own laptops. No special operating system is required. You can participate with Windows, MacOS or some Linux-distribution. Please make sure that the wireless connection of your laptop works (for example with eduroam). In case you don't have access to eduroam, we provide a an additional wireless network during the course.
This course will be free of cost for members of German universities or publicly-funded research institutions in Germany.