RESEARCH
Advancing research in HPC and parallel and distributed computing.
The center’s primary research focuses on developing and and optimizing scientific applications and codes for distributed computing environments, such as computer clusters and supercomputers, with applications spanning natural sciences, biotechnology, medicine, and technical sciences.
RESEARCH FIELDS
Numerical Linear Algebra
Numerical Linear Algebra (NLA) is a fundamental component of High-Performance Computing (HPC), enabling the efficient solution of large-scale scientific and engineering problems. By leveraging HPC, numerical linear algebra enables breakthroughs in fields such as climate modeling, drug discovery, astrophysics, and AI, making large-scale computations feasible and efficient.
DLT Scientific Publishing
DLT Scientific Publishing refers to the use of Distributed Ledger Technology (DLT) in the field of scientific publishing. It leverages blockchain and decentralized systems to improve transparency, security, and accessibility in scholarly research. DLT-based publishing has the potential to revolutionize academic publishing by reducing reliance on traditional gatekeepers, promoting open science, and enhancing trust in research outputs.
Drug discovery
High-Performance Computing (HPC) is transforming drug discovery by enabling researchers to process vast datasets, simulate complex molecular interactions, and accelerate the development of new treatments. Traditional drug discovery methods are time-consuming and costly, but HPC allows scientists to model, analyze, and predict drug behavior with unprecedented speed and accuracy. By leveraging supercomputing power, pharmaceutical research can reduce costs, improve efficiency, and accelerate the development of life-saving treatments for diseases ranging from cancer to neurological disorders.
Scientific visualization
Scientific visualization on HPC leverages the immense processing power of high-performance computing systems to transform complex scientific data into clear, interactive visual representations. By using advanced algorithms and parallel processing, HPC enables researchers to explore large-scale simulations, detect patterns, and gain insights across disciplines such as climate modeling, astrophysics, molecular dynamics, and biomedical research. Visualization on HPC not only enhances data interpretation but also accelerates scientific discovery by making intricate data accessible and understandable.
Computational chemistry
Computational chemistry on HPC harnesses the power of high-performance computing to simulate molecular interactions, predict chemical properties, and model complex reactions at atomic and quantum scales. By distributing calculations across thousands of cores, HPC enables faster and more accurate simulations, helping researchers design new materials, optimize drugs, and understand fundamental chemical processes far beyond the capabilities of traditional computing methods.
SUPPORT
Get scientific support for your Research or Business
The Center for Informatics and Computing (CIR) is committed to empowering researchers and the business sector with cutting-edge scientific support.
Our goals
By leveraging advanced computational tools and expertise, CIR helps drive innovation, accelerate discoveries, and solve complex challenges across a wide range of industries.
Solve complex
challenges
Drive
Innovation
Accelerate
discoveries
How we support you
Whether it's developing new technologies, optimizing business processes, or pushing the boundaries of scientific knowledge, CIR provides the critical resources and insights needed to succeed in today’s rapidly evolving digital landscape
Use HPC technology
Unlock scalability & efficiency with HPC technology in your research or business
Handle large-scale data
HPC enables large-scale simulations, data analysis, and other compute-intensive tasks
Get results
faster
Use thousands of compute nodes working in parallel to get fast results
KNOWLEDGE TRANSFER
Transferring Knowledge to
Academia and Industry
Important part of the our activities is the sharing expertise, skills, and experience across projects and departments, and outward to the academia and Industry. To support knowledge transfer we organize lectures, workshops and conferences.
But what sets us apart is the commitment to continuous education and development of our team. In a rapidly evolving digital landscape, we recognize that staying at the forefront of innovation means investing in people. Whether it’s through participation in international training programs, specialized summer schools, technical workshops, or active involvement in EU-funded research projects.
This dedication to education not only strengthens the Centre’s capabilities, but also fosters a culture of curiosity, innovation, and collaboration.
At CIR, education isn’t just a part of the job—it’s a strategic pillar in shaping the future of science and technology.