The 4th CINI International Summer School on High-Performance Computing
for Science, Industry, and Society
June 15 - 19 2026, Lecce, Italy
HPC
Parallel, distributed, and network-based processing has undergone impressive impulse over recent years. High-Performance Computing, that is the use of supercomputers to face complex problems at huge scales, has greatly transformed many application fields ranging from science and engineering to finance and health care. Modeling and simulation, big data analytics, and machine learning have joined theory, observation, and experiment as fundamental paradigms of scientific discovery and have largely surpassed them as methodologies of engineering design.
New architectures, advanced programming models and tools, parallel algorithms and libraries, improved performance and energy efficiency, and novel application domains have rapidly become the central focus of this discipline. Main advances are often a result of the cross-fertilization of parallel and distributed computational paradigms with other rapidly evolving methodologies and technologies in different disciplines. It is paramount to review and assess these new developments in relation to the recent research achievements in various areas of parallel and distributed computing, considering both industrial and scientific points of view.
Mission
The course will address the design of scalable parallel algorithms and the use of standard “de facto” programming models and tools crucial for enhancing HPC application performance, including practical hands-on sessions focusing on MPI, OpenMP, GPU programming, and performance monitoring.
The curriculum aims to boost participants’ capabilities in utilizing HPC for complex scientific and industrial tasks, covering all the hardware and software toolchains from the basics of computer architecture and the design of high-performance processors to parallel and distributed computing methodologies, with a focus on some relevant application contexts.