Organizers
Ezhilmathi KRISHNASAMY
Chair
Researcher
University of Luxembourg
Guillaume HELBECQUE
Co-Chair
Researcher
University of Lille
Abstract
Parallel and Distributed Computing: Models, Methods, and Applications
Computing power has expanded exponentially over the years, following Moore’s Law, as demonstrated by continuous improvements in GPU and CPU performance. In parallel, a wide range of programming models and paradigms has been proposed to exploit modern computing architectures. However, a key challenge remains in selecting and applying the most appropriate programming model to fully harness available computing resources, particularly in the context of pre-exascale and exascale high-performance computing (HPC) systems.
Identifying the right programming approach for a given hardware platform is therefore critical for accelerating scientific and engineering applications. This track aims to bring together researchers and practitioners to discuss advances in parallel and distributed computing models, methods, and real-world applications, with an emphasis on performance, scalability, and efficient resource utilization across heterogeneous computing environments.
Topics
- Parallel programming models and paradigms
- GPU computing and acceleration for parallel processing
- Parallel computing for scientific and engineering applications
- Heterogeneous computing and resource management
- Distributed programming using MPI and related frameworks
- Performance optimization and scalability on HPC systems
- Innovative applications and emerging topics in parallel and distributed computing