Next-Generation of Massively Parallel High-Fidelity Computational Fluid Dynamics

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For the past five years, massively parallel hardware architectures such as NVIDIA's general purpose graphical processing units and Intel's Xeon Phi accelerators have gained traction in the scientific and high performance computing community due to the combination of their low cost, high power efficiency, and high computational throughput. Thanks to their parallel architecture, simpler processors and low clock frequencies, these accelerators consume less power per teraflops of computations, and their computational throughput is increasing at a greater rate than that of traditional CPUs. Bombardier Aerospace's (BA) objective is to upgrade their Full-Aircraft-Navier-Stokes-Code (FANSC) to take advantage of new hardware architectures, while Cray's objective is to advance their propriety compilers through a thorough investigation of computational fluid dynamics (CFD) on Cray systems. The objective of this proposal is to develop novel parallel algorithms, tailored to the types of algorithms in FANSC and implement them to fully exploit the computational power of the next generation of massively parallel hardware architectures. The research proposed will be accomplished through four objectives: (1) design and implement a distributed scalable data structure for heterogeneous computing systems; (2) research and investigate solvers for CFD on massively parallel hardware architectures; (3) develop a new pre-processor to ensure a high computational throughput and scalable flow solver; (4) validate, verify, and profile the new FANSC code. The research objectives will be met through the combine complimentary expertise of Prof. Siva Nadarajah at McGill University and Prof. Eric Laurendeau at École Polytechnique. The originality of the proposed work will be on the comprehensive research on the simultaneous impact of the data-structure, solver, and pre-processor on a scalable and efficient computational framework. The project will support five graduate students, and a post-doctoral scholar. The research project will allow both the McGill and École Polytechnique academic teams to contribute towards the advancement of algorithms for CFD on massively parallel hardware architectures.**********