Höchstleistungsrechenzentrum Stuttgart: Node-Level Performance Engineering

Prerequisites and content levels

Prerequisites:

Familiarity with Linux and Linux editors is recommended.
Basics/principles of programming in C or Fortran and basic OpenMP.

Content levels:

Intermediate: 8 hours 15 minutes
Advanced: 8 hours 15 minutes
Community: 2 hours 45 minutes

Learn more about course curricula and content levels.

Instructors

Dr. habil. Georg Hager and Dr.-Ing. Jan Eitzinger (NHR@FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg)
Bill Williams (ZIH, TU Dresden) for the tools-day

Agenda

- preliminary -

Day 1 (Tuesday)

08:45 Enter the Zoom meeting
09:00 Welcome – Intro
09:30 Computer architecture for software developers part 1
10:15 Coffee break
10:30 Computer architecture for software developers part 2
10:45 Hands-on: Divide benchmark
11:30 Tools: Topology and affinity, frequency
12:00 Lunch
13:00 Hands-On: topology, affinity
13:45 Introduction to the Roofline Model
15:00 Coffee break
15:15 Quiz/Q&A/open end

Day 2 (Wednesday)

08:45 Enter the Zoom meeting
09:00 Tools: Performance counters
09:45 Hands-on: performance counters and memory bandwidth
10:30 Coffee break
10:45 Roofline case study: stencils
11:30 Performance Engineering: Basic skills
12:15 Lunch
13:15 Hands-on: Dense matrix-vector multiplication (I)
13:45 Optimal use of parallel resources: ccNUMA
14:15 Hands-on: Dense matrix-vector multiplication (II)
14:45 Roofline case study: Tall & skinny matrix-matrix multiplication
15:15 Coffee break
15:30 Quiz/Q&A/open end

Day 3 (Thursday)

08:45 Enter the Zoom meeting
10:00 Hands-on: SIMD in MiniMD
11:00 Coffee break
11:15 Roofline case study: Sparse matrix-vector multiplication
12:15 Lunch
13:15 Hands-on: Matrix-free CG solver
14:45 Coffee break
15:00 The ECM performance model
16:00 Quiz/Q&A/open end

Day 4 (Tools Day, Friday)

08:45 Enter the Zoom meeting
09:00 Performance engineering from the application point of view
09:30 Monitoring with Score-P
09:45 Hands-on: MiniMD with Score-P
10:15 Coffee break
10:30 Profile exploration and measurement scoring
10:45 Trace exploration with Vampir
11:15 Coffee break
11:30 Hands-on: Load imbalance: SpMV
12:15 Wrap-up

Handouts

Before the course, the updated course material and agenda will be available here.

An older version of this course with most of the material (including the audio information) can also be viewed in the online self-study materials.

Registration information

Apply for this course via the button at the top of this page (will be available soon).

Fees

0 Euro: Employees of the HLRS or the Jülich Supercomputing Centre (JSC) or the Leibniz Supercomputing Centre (LRZ)
32.50 Euro: Students without master’s degree or equivalent
67.50 Euro: PhD students or employees at a German university or public research institute
135 Euro: PhD students or employees at a university or public research institute in an EU, EU-associated or PRACE country other than Germany
270 Euro: PhD students or employees at a university or public research institute outside of EU, EU-associated or PRACE countries
690 Euro: Other participants, e.g., from industry, other public service providers, or government

Link to the EU and EU-associated (Horizon Europe), and PRACE countries.

Our course fees include coffee breaks (in classroom courses only).

Contact

Lucienne Dettki, phone 0711 685 63894, training(at)hlrs.de

HLRS Training Collaborations in HPC and AI

HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. SIDE is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC.
Since 2025, HLRS has been coordinating one of the AI Factories of the EuroHPC JU: HammerHAI.

Further courses and training team

See the training overview and the Supercomputing Academy pages.
See also information about the HLRS training department and staff.

Node-Level Performance Engineering