This course teaches performance engineering approaches on the compute node level. “Performance engineering” as we define it is more than employing tools to identify hotspots and bottlenecks. It is about developing a thorough understanding of the interactions between software and hardware. This process must start at the core, socket, and node level, where the code gets executed that does the actual computational work. Once the architectural requirements of a code are understood and correlated with performance measurements, the potential benefit of optimizations can often be predicted. We introduce a “holistic” node-level performance engineering strategy and apply it to different algorithms from computational science. Architectural details that are relevant for performance, such as pipelining, SIMD, superscalarity, memory hierarchies, etc., are covered in due detail.
Participants must have basic knowledge in programming with Fortran or C and basic knowledge of OpenMP.
Registration is now open!
|Bachelor / Master Students from Hessen & Rheinland-Pfalz||40 EUR|
|PhD students from Hessen & Rheinland-Pfalz||60 EUR|
|Members of German universities and public research institutes||60 EUR|
Fee includes coffee breaks, but not lunch & dinner.
On the first evening, we plan a dinner (self-paying) at “Zum Storch am Dom” (https://www.zumstorch.com/).
Cluster Computing Course
The Cluster Computing Course is for participants of Node-Level Performance Engineering
Friday, August 30 2019
Goethe Universität, Campus Riedberg (Frankfurt am Main)
Cluster facts of the GOETHE-HLR & FUCHS cluster:
Partitions on the cluster
Architecture of the partitions
SLURM is the job scheduler installed on GOETHE-HLR & FUCHS cluster. The session teaches attendees
how to prepare a submission script
how to submit, monitor, and manage jobs on the clusters
theory about resource and CPU management
Travel Information and Accommodation
From main railway Station “Hauptbahnhof” with S-Bahn S1 - S9 to “Hauptwache”, then with U-Bahn U8 (direction Riedberg) to “Uni Campus Riedberg”.
Anja Gerbes, +49 (0)69 798-47356, gerbes[at]csc.uni-frankfurt.de