High-Performance Computing in Applied Science and Engineering

Dr. Lars Hoffmann

Head of division HPC in Applied Science and Engineering

  • Institute for Advanced Simulation (IAS)
  • Jülich Supercomputing Centre (JSC)
Building 14.14 /
Room 4010
+49 2461/61-1978
E-Mail

High-performance computing (HPC) in applied science and engineering refers to the use of powerful computing systems and techniques to solve complex problems in scientific research, engineering design, and data analysis. It involves the application of advanced computational methods, algorithms, and parallel processing to tackle large-scale simulations, data-intensive tasks, and computationally demanding problems.

HPC plays a crucial role in various fields of applied science and engineering. This includes computational modelling and simulation, where HPC enables researchers and engineers to create and run sophisticated simulations and models that provide insight into complex phenomena and processes. Examples include weather and climate modelling, fluid dynamics simulations, structural analysis and molecular dynamics. By leveraging parallel computing and distributed systems, HPC also facilitates the handling and analysis of large data sets, often referred to as big data.

The use of HPC in applied science and engineering helps accelerate the pace of research, enhances understanding of complex phenomena, and facilitates innovation and discovery. It enables scientists and engineers to tackle increasingly challenging problems, leading to advancements in various disciplines and industries.

Simulation and Data Laboratories

The HPC-ASE division at JSC is staffed by scientists from a wide range of applied sciences and engineering. It houses five Simulation and Data Laboratories (SDLs) for different scientific domains. The research and support activities of the teams are contributing to the program Engineering Digital Futures: Supercomputing, Data Management and Information Security for Knowledge and Action of the Helmholtz Research Field Information and are connected to various third-party projects and collaborations.

Further Information

Last Modified: 02.01.2024