- Courses, Training and Events for HPC
- Content Level Specification
- Lecture Notes and Materials
- Compact Course: Iterative Linear Solvers and Parallelisation
- Data Analytics, Big Data and Machine Learning Training Courses at LRZ
- Deep Learning and GPU programming using OpenACC
- FPGA Programming Models
- Introduction to ANSYS CFD (CFX, Fluent)
- 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
- Parallel Programming Courses
- PRACE Course: Advanced Fortran Topics
- PRACE Course: Deep Learning and GPU Programming Workshop
- PRACE Course: Deep Learning and GPU Programming Workshop @ CSC
- PRACE Course: Intel MIC Programming Workshop
- PRACE Course: Introduction to hybrid programming in HPC
- PRACE Course: Node-Level Performance Engineering
- PRACE Course: OpenMP Programming Workshop
- PRACE Course: VI-HPS Tuning Workshop
- PRACE Public Lectures
- PRACE Workshop: HPC code optimisation workshop
- Programming with Fortran
- Python for Beginners
- Python Refresher
- Recent Advances in Parallel Programming Languages
- Using Python at LRZ
- Using R at LRZ
- FAQ and Troubleshooting
- FAQ: Accessing to the HPC systems
- FAQ: batch queuing and batch jobs
- FAQ: Compiler Problems
- FAQ: Embarassingly parallel jobs using Python and R
- FAQ: Example Scripts in Gitlab
- FAQ: Hybrid MPI and OpenMP/threaded programs
- FAQ: Installing your own applications on SuperMUG-NG
- FAQ: Julia on SuperMUC-NG
- FAQ: MPI Problems
- FAQ: OpenMP Problems
- FAQ: Parallel Tracing (Intel Tracing Tools / Vampirtrace)
- FAQ: Perl problems
- FAQ: Python and R on SuperMUC-NG by using conda
- FAQ: Python Problems
- FAQ: Remote visualisation
- FAQ: R problems
- FAQ: Sharing files with other users
- FAQ: Using existing binaries
- FAQ: Working interactively with SLURM
- Museum of phased-out HPC Systems
- Public Relations for HPC
- SLURM Workload Manager
- Support for HPC and Big Data
- User Guides for HPC
Overview
Content Tools
Activity