To support research teams at National Taiwan University (NTU) in accelerating computational simulations and data-intensive analysis, the NTU Computer and Information Networking Center provides High-Performance Computing (HPC) services.
The HPC environment features both CPU and GPU clusters, supporting a wide range of programming languages including C, C++, and Python. It enables efficient execution of parallel computing applications using MPI and OpenMP on cluster-based infrastructure. This allows researchers from various disciplines to significantly reduce computation time and enhance research productivity.
In addition, a range of licensed commercial software is available, including MATLAB, SAS and Gaussian, supporting diverse research needs across science and engineering fields.
These high-performance computing resources are designed to facilitate interdisciplinary research by supporting projects that integrate multiple scientific disciplines, enabling efficient large-scale simulations and data-intensive analysis.