Graphics Processing Units based Computing System for Emerging Hypersonics Solvers
Abstract
High-speed propulsion is essential for realizing hypersonic flight. In this regard, airbreathing scramjet engines, and detonation-based devices are gaining interest for powering a wide range of vehicles. Both these propulsion concepts involve complex interaction of shocks, turbulence and chemical reactions in their flowpath. In order to realize an efficient, robust and reliable design, deep insight into the core physics and tools for design optimization are needed. However, the multiphysics multiscale nature of these flows pose considerable modeling challenges, especially due to the resource intensive nature of solving the governing equations. The focus of this project is to develop a graphics processing units (GPU) based computer cluster that helps develop a new generation of hypersonics solvers that can not only extract physics but help in online modeling and design optimization. GPUs provide high compute density and low power consumption, which will allow new strategies for solving the governing equations. In particular, GPUs are particularly useful when the physics problem is cast in terms of vectorized algorithms. For instance, artificial neural networks based algorithms are highly efficient on such systems. The GPU-based system will enable end-to-end workflows for concept-to-design optimization in an automated manner.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 29, 2024
- Source ID
- FA95502310067
Entities
People
- Venkatramanan Raman
Organizations
- Air Force Office of Scientific Research
- Board of Regents of the University of Michigan
- United States Air Force