Lecture Notes and Materials
Note: the Course materials reflect the state of the systems and software at the time of the courses, which may have changed since then!
LRZ Courses and Workshops
- ANSYS Courses
- Data Analytics, Big Data and AI Training Courses at LRZ
- Debugging and Optimising Parallel Codes with Linaro Forge
- Deep Learning and GPU Programming Courses
- FPGA Programming Models
- HPC Code Optimisation Workshops
- Hybrid Programming in HPC - MPI+X
- Intel OneAPI Training
- Introduction to C++
- Introduction to Semantic Patching of C programs with Coccinelle
- Introduction to the HPC Systems at LRZ
- Introduction to the LRZ Linux Cluster and Compute Cloud
- Iterative Linear Solvers and Parallelisation
- Iterative Solvers for Linear Systems
- MD with Schrödinger Suite & PyMOL Workshop
- OneAPI Hybrid Workshop
- OpenFOAM - A Tutorial with Focus on HPC
- OpenMP Programming Workshops
- Parallel Programming of High Performance Systems
- PRACE Course: Advanced Fortran Topics
- PRACE Course: Advanced Topics in High Performance Computing
- PRACE Course: Intel MIC Programming Workshop
- PRACE Course: Introduction to hybrid programming in HPC
- PRACE Course: Node-Level Performance Engineering
- PRACE Public Lectures
- Programming with Fortran
- Python Courses
- Quantum Computing Courses
- Recent Advances in Parallel Programming Languages
- Using R at LRZ
- VI-HPS Tuning Workshops
- VisIt and OSPRay Studio for Scientific Visualisation
- Workshop: SuperMUC-NG Status and Results Workshop 2021
LRZ Self-Paced Tutorials
Further Online Resources
- PRACE Training Material: https://training.prace-ri.eu/
G. Hager and G. Wellein: "Introduction to High Performance Computing for Scientists and Engineers" http://www.hpc.rrze.fau.de/HPC4SE
Designing and Building Parallel Programs. Online book by Ian Foster.
- LLNL Training Material: https://hpc.llnl.gov/training/tutorials