PAST FET EVENT
11th PUMPS+AI summer school
July 5th 2021 - July 9th 2021
online
The H2020 funded project EPEEC co-organizes 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.
Deadline for applications is 30 April 2021 and registration is free for attendees from academia and public institutions.
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
Prerequisites for the course are:
- Basic CUDA knowledge is required to attend the course. Applicants that cannot certify their experience in CUDA programming will be asked to take a short on-line course covering the necessary introductory topics
- C, C++, Java, or equivalent programming knowledge. Skills in parallel programming will be helpful
More information available here
Photo by Michael Dziedzic on Unsplash
WHEN
from Mon, 5 July 2021
to Fri, 9 July 2021
(CEST)
WHERE
online