Outreach

The PASC Conference is a leading event for researchers in computational science and high-performance computing. PASCs structure enables efficient communication between various scientific areas. Co-sponsors of PASC Conference are ACM SIGHPC and the CSCS.

PASC Conferences offer plenary sessions, a public lecture, as well as minisymposia, contributed talks and poster sessions in different scientific domains. They also include a session dedicated to papers selected for publication in the ACM Digital Library. The program does also provide time for discussions within PASC scientific disciplines (inter-PASC Networks discussions), and an exhibition space.

The Swiss National Supercomputing Centre (CSCS) and Università della Svizzera italiana (USI) jointly organize a yearly Summer School that takes place in different locations in Ticino. To every edition of the Summer School participate about 30 students from all over Switzerland end Europe, selected on the basis of their application forms.

The program covers a variety of topics, from traditional parallel programming approaches to MPI, OpenMP, CUDA and OpenACC, from effective exploitation of hybrid High Performance Computing (HPC) systems to scientific libraries and machine learning frameworks.

Extensive practical and exercise lab sessions help to clarify and consolidate the theoretical material. Additionally visits to CSCS, excursions in Ticino and free-time activities are organized.

The Summer School is dedicated to undergraduate students, Ph.D. students, Postdocs and Researchers.

The Swiss Graduate Program Foundations in Mathematics and Informatics for Computer Simulations in Science and Engineering (FOMICS) is an education network for training PhD students in Computational Science. It is coordinated by the Institute of Computational Sciences of USI, together with the University of Basel, Bern, Geneva, EPFL, ETH Zurich and CSCS; it is supported through means from the Swiss University Conference doctoral program. The program is open to other participation at the condition they bear their own costs.

Participating PhD students will learn to develop tailored mathematical models and efficient softwares, exploiting the capabilities of recent hardware environments, from local, specialized architectures to Swiss-wide large-scale HPC systems.

More information can be found here.