PUMPS+AI Summer School

The eleventh edition of the Programming and Tuning Massively Parallel Systems + Artificial Intelligence summer school (PUMPS+AI) is aimed at enriching the skills of researchers, graduate students and teachers with cutting-edge technique and hands-on experience in developing applications for many-core processors with massively parallel computing resources like GPU accelerators.

Some of the topics that will be covered during the course:

• Deep Learning
• High-level programming models (OpenACC, Python, and Mathematica on GPUs)
• CUDA Algorithmic Optimization Strategies
• Dealing with Sparse and Dynamic data
• Efficiency in Large Data Traversal
• Reducing Output Interference
• Controlling Load Imbalance and Divergence
• Acceleration of Collective Operations
• Dynamic Parallelism and HyperQ
• Debugging and Profiling CUDA Code
• Multi-GPU Execution
• Architecture Trends and Implications
• Introduction to OmpSs and to the Paraver analysis tool
• OmpSs: Leveraging GPU/CUDA Programming
• Hands-on Labs: CUDA Optimizations on Scientific Codes; OmpSs Programming and Tuning