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! Please register via the Indico conference management system.

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”

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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)

Program

Cluster facts of the GOETHE-HLR & FUCHS cluster:

• Hardware resources

• File system

• Environments modules

• Partitions on the cluster

• Architecture of the partitions

Batch Usage:

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

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

• Relexa Hotel Frankfurt

• B&B Frankfurt Nord

• Trip Inn Nordwestzentrum

• Gästezimmer Niederursel

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Contact

Anja Gerbes, +49 (0)69 798-47356

This course is organized by HKHLR and CSC, Goethe University Frankfurt in cooperation with RRZE &