posted by organizer: apenya || 479 views || tracked by 2 users: [display]

PUMPS+AI 2024 : Programming and Tuning Massively Parallel Systems + Artificial Intelligence

FacebookTwitterLinkedInGoogle

Link: https://pumps.bsc.es
 
When Jul 8, 2024 - Jul 12, 2024
Where Barcelona
Submission Deadline Apr 30, 2024
Notification Due May 13, 2024
Categories    summer school   gpu computing   deep learning
 

Call For Papers

14th Programming and tUning Massively Parallel Systems + Artificial Intelligence (ACM*) Summer School (PUMPS+AI)
https://pumps.bsc.es

* PUMPS+AI became an ACM Seasonal School on 2023. This year's ACM sponsorship is still to be confirmed.

-- Note this is a fully in-person summer school in wonderful Barcelona city! --

On its 14th edition, the Programming and tUning Massively Parallel Systems + Artificial Intelligence summer school (PUMPS+AI) offers researchers and graduate students a unique opportunity to improve their skills with cutting-edge techniques and hands-on experience in developing and tuning applications for many-core processors with massively parallel computing resources like GPU accelerators, with a special focus on AI.

- PUMPS 2024 Distinguished Lecturer:
Wen-mei Hwu (NVIDIA)

The summer school is oriented towards advanced programming and optimizations, and thus previous experience in basic GPU programming will be considered in the selection process. We will also consider the current parallel applications and numerical methods you are familiar with, and the specific optimizations you would like to discuss.

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

* DEEP Learning
* 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 tools
* OmpSs: Leveraging GPU Programming
* Hands-on Labs

Participants will have access to GPU servers and will learn to program and optimize applications and AI techniques in languages such as CUDA and OmpSs. Teaching Assistants will be available to help with your hands-on lab assignments. At poster and hackathon sessions you may show your current work and applications you are optimizing. NVIDIA will award the best poster presentation.

- Important Dates:
Applications due: April 30, 2024
Notification of acceptance: May 12, 2024
Summer school: July 8-12, 2024

Early application is strongly recommended. You may also be suggested to attend an online prerequisite training on basic CUDA programming before joining PUMPS.

- Location: Barcelona, Spain

- Complete information, program and registration: http://pumps.bsc.es

PUMPS is organized by the Barcelona Supercomputing Center, the University of Illinois Urbana-Champaign, the Universitat Politècnica de Catalunya.

Looking forward to see you at the PUMPS Summer School,

- PUMPS Co-Directors:
Mateo Valero (BSC-UPC) and Wen-mei Hwu (NVIDIA/UIUC)
- Local Organization Chair:
Antonio J. Peña (BSC-UPC)

- Contact: pumps@bsc.es

Related Resources

Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
ASPLOS 2025   The ACM International Conference on Architectural Support for Programming Languages and Operating Systems
EAIH 2024   Explainable AI for Health
IWOMP 2024   20th International Workshop on OpenMP
NLAI 2024   5th International Conference on NLP & Artificial Intelligence Techniques
EuroMPI/Australia 2024   31st European MPI Users' Group Meeting
WiMoA 2024   16th International Conference on Wireless, Mobile Network & Applications
LLVM-GPU 2024   LLVM-GPU: First International Workshop on LLVM for GPUs
BIBC 2024   5th International Conference on Big Data, IOT and Blockchain
CPAIOR 2024   International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research