From 30 January to 3 February 2026, the city of Kobe, Japan, hosted the 2026 ACM Asian School on High-Performance Computing and Artificial Intelligence. Organised immediately after SCA/HPCAsia 2026 in Osaka, the school continued the focus on advanced computing technologies, with particular attention to the integration of HPC and AI in computational science.
The programme was hosted by the RIKEN Center for Computational Science (R-CCS) and supported by the Association for Computing Machinery (ACM) and ACM SIGHPC. It combined lectures, invited talks, and hands-on sessions, offering participants direct exposure to current developments in both hardware and software for large-scale scientific computing.
MaX was represented by Daniele Varsano and Fulvio Paelari from CNR-Nano, who were invited to contribute to the programme with a dedicated talk. Their participation provided an opportunity to present MaX activities and to engage with a new generation of researchers working at the intersection of HPC and AI.
The school was designed for early-career researchers, including postdoctoral fellows, PhD candidates, and selected MSc students in computer science, computational science, and related disciplines. A central component of the school was the use of the “Fugaku” supercomputer, one of the most advanced systems in operation, enabling participants to work directly on large-scale computational problems.
The organising committee brought together representatives from major HPC centres and institutions, including RIKEN R-CCS, the Barcelona Supercomputing Center, Forschungszentrum Jülich, KTH Royal Institute of Technology, and the National Supercomputing Centre Singapore. This broad institutional involvement ensured a high-level scientific programme and reinforced the international dimension of the school.
Participation in the ACM Asian School on HPC and AI further strengthened MaX’s engagement with the global HPC community, particularly in the training and development of early-career researchers. The event provided a valuable setting to exchange knowledge, present ongoing work, and contribute to the advancement of computational science through education and collaboration.