HPC User Support
The Application Software and User Support Team (ASUS) at the Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw (ICM UW) is an interdisciplinary team of HPC experts operating at the intersection of advanced computing technologies, academic research, and the practical needs of ICM UW supercomputer users.
We manage the application software ecosystem deployed across our computational infrastructure—overseeing everything from application installation and updates to monitoring and performance optimization. In parallel, we provide comprehensive HPC user support, seamlessly combining technical assistance with subject-matter consulting rooted in domain-specific expertise.
Our mission extends beyond addressing day-to-day user requests; we actively build and foster the HPC community. We host training sessions, workshops, and specialized meetups designed to help users effectively leverage computational resources while advancing their research and engineering capabilities.
Members of the ASUS team represent diverse fields of science and technology. We drive our own R&D projects and contribute to teaching and academia at the University of Warsaw, sharing our expertise in modern computational methods.
Our core competencies lie in High-Performance Computing (HPC) across both traditional massively parallel architectures (CPUs) and modern accelerated platforms, including GPU-accelerated and vector architectures. We assist users in deploying, tuning, and scaling their applications to fully unlock the potential of our infrastructure.
Core Areas of Activity:
- HPC Software Maintenance and Development – Supporting both the academic community and commercial clients.
- Grant System Management – Facilitating and administering resource allocation for the ICM UW computing infrastructure.
- Close User Collaboration – Delivering both technical helpdesk support and advanced consulting based on the team’s expert knowledge.
The ASUS team connects technology, science, and people, empowering the realization of ambitious research and computational breakthroughs.
