Course Contents
In this lab course, participants actively develop and/or apply parallel programming technologies in several areas:
• Parallelism discovery
• Performance analysis and modeling
• Correctness analysis
• Profiling
• Scalable algorithms
• Resource management and scheduling
• Applications (e.g., deep learning)
Preconditions
• Knowledge of parallel programming and parallel systems
Online Offerings
Moodle
In this lab course, participants actively develop and/or apply parallel programming technologies in several areas:
• Parallelism discovery
• Performance analysis and modeling
• Correctness analysis
• Profiling
• Scalable algorithms
• Resource management and scheduling
• Applications (e.g., deep learning)
Preconditions
• Knowledge of parallel programming and parallel systems
Online Offerings
Moodle
- Lehrende: Arya Mazaheri
- Lehrende: Felix Wolf
Semester: WT 2023/24