The DHPC consists of a high number of computing nodes, high memory nodes and GPU nodes, storage and a high speed interconnect. Besides the Computing facilities, the infrastructure comprises an HPC ecosystem where users, students and trainers work together in order to obtain the best results in High Performance Computing for Science and Engineering. The ecosystem relies on a lab room (Penquin lab) where MPI (Message Passing Interface), GPU (Graphics Processing Unit), OpenFOAM (Open source Field Operation And Manipulation) and other courses for both students, staff and non-academic users are given. The DHPC supports computational variants of all sciences, fields such as Computational Fluid Dynamics, Computational Mechanics, Computational Finance (FinTech), Computational Social Science, Machine Learning, Deep Learning and many more.
In computational science two trends are visible: one is the tremendous increase in the amount of data (measurements/simulations) needed in science (AI, deep learning, digital twin, etc) and the second is the fact that the increase in computational speed is much faster than the increase in data transport capabilities. For this reason it is important to have the compute facilities on campus, close to the data. Since the TU Delft is home of the largest group of Computational Science and Engineering researchers (of excellent quality) in the Netherlands it is clear that the best place for a High Performance Computing Cluster is at the TU Delft.