The 13^th 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, with a special focus on artificial intelligence.

• Further information here: https://pumps.bsc.es/2023/
• Summer School Co-Directors: Mateo Valero (BSC and UPC) and Wen-mei Hwu (University of Illinois at Urbana-Champaign / NVIDIA)
• Local Organizers: Antonio J. Peña (Chair, BSC), Marc Jordà (BSC)
• Dates:
  Applications due: 30th April

  Due to space limitations, early application is strongly recommended. You may also be suggested to attend an online prerequisite training on basic CUDA programming before joining PUMPS.

  Notification of acceptance: 12th May

• Organized by:

  Barcelona Supercomputing Center (BSC)
  Universitat Politècnica de Catalunya (UPC)
  University of Illinois at Urbana-Champaign (University of Illinois)
  HiPEAC Network of Excellence (HiPEAC)

• The following is a list of some of the topics that will be covered during the course:

Deep Learning / AI engine internals
High-level programming models
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

• Instructors:
  Featured Lecturers: Wen-mei Hwu (NVIDIA)
  Invited Lecturers: Juan Gómez-Luna (ETH Zurich)
  BSC / UPC Lecturers: Antonio J. Peña, Marc Jorda, Leonidas Kosmidis, Xavier Martorell and Xavier Teruel