Node-Level Performance Engineering: September 2019
Program
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:
Registration is now open!
Fee:
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 |
Others | 580 EUR |
Fee includes coffee breaks, but not lunch & dinner.
Social Events:
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
Location:
Goethe Universität, Campus Riedberg (Frankfurt am Main)
Cluster facts of the GOETHE-HLR & FUCHS cluster:
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Hardware resources
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File system
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Environments modules
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Partitions on the cluster
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Architecture of the partitions
Batch Usage:
SLURM is the job scheduler installed on GOETHE-HLR & FUCHS cluster. The session teaches attendees
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how to prepare a submission script
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how to submit, monitor, and manage jobs on the clusters
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theory about resource and CPU management
Travel Information and Accommodation
See our directions, the campus map, and the entrance and room 114 of building N100
Public transportation:
From main railway Station “Hauptbahnhof” with S-Bahn S1 - S9 to “Hauptwache”, then with U-Bahn U8 (direction Riedberg) to “Uni Campus Riedberg”.
Hotel Recommendation:
Contact
Anja Gerbes, +49 (0)69 798-47356, gerbes[at]csc.uni-frankfurt.de
This course is organized by HKHLR and CSC, Goethe University Frankfurt in cooperation with RRZE &