Lehrinhalte
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)

Voraussetzungen
• Knowledge of parallel programming and parallel systems

Online-Angebote
Moodle

Semester: ST 2021