The High Performance Aerospace Computing Center (HiPAC) is part of the National Institute of Aerospace (NIA) at Hampton, Virginia and works closely with researchers at NASA Langley Research Center. The center conducts research in the application of Computational Fluid Dynamics (CFD) towards aerospace applications. Its research can be broadly classified into the following areas:
- Development of novel numerical methods with improved accuracy and robustness that are suitable for modern high performance computational applications.
- Development of Adjoint based Multidisciplinary Design and Optimization (MDO) for turbulent flows, mesh adaptation and demonstrate it for practical aerospace applications.
- Modeling and Simulation of transitional and turbulent flows to improve our understanding of complex flows, come up with better models to predict such flows and aid in the design of aerodynamic components.
Mission
The mission of the NIA High Performance Aerospace Computation (HiPAC) Center is to advance computational methods and technologies for aerospace applications and transition them from fundamental studies to practical tools.
This mission is supported by expertise at NIA, the talent and resources of our strategic partners in academia and industry, and an unprecedented level of collaboration and integration with research programs at NASA and other government agencies.
Vision
The HiPAC vision is to mature computational aerospace technologies from a fundamental breakthrough in numerical analysis to integration within a practical tool.
To achieve the vision, HiPAC provides an innovative and interdisciplinary research environment for a group of dedicated aerospace engineers, applied mathematicians, and computer scientists with a passion for advancing physics-based computational technologies in general and their aerospace applications in particular. HiPAC researchers conduct cutting edge research, development, and demonstration of high performance computational methods and tools for large-scale aerospace applications. Specific areas of interest include High Performance Computing, Computational Aerodynamics, Physics-Based Modeling and Simulation, High-Fidelity Simulation-Based Multidisciplinary Design and Optimization.