Date of Award

Summer 8-2025

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

Program/Concentration

Computer Science

Committee Director

Mohammad Zubair

Committee Member

Desh Ranjan

Committee Member

Jiangwen Sun

Abstract

The growing popularity of Computational Fluid Dynamics (CFD) simulations among engineers necessitates the use of GPU acceleration for increased efficiency. NASA FUN3D offers GPU accelerated CFD simulations using unstructured grids across the speed regime from incompressible to hypersonic flows involving reentry. This work focuses on the generalized multi-color point implicit solver used in FUN3D, accounting for roughly half of the run time. Specifically, this work focuses on developing three optimized multi-color linear-solver kernels for the Intel Data Center Max 1550 GPU that is available on the Argonne Leadership Computing Facility’s (ALCF) exascale machine, Aurora. These optimized kernels work for a range of block sizes. Intel oneAPI’s ESIMD is used to explicitly vectorize memory loads for block-sparse vector computation, which is the core computation of the multi-color linear solver. The performance of the optimized implementations are evaluated on Intel GPUs, testing both on Aurora and internal Intel systems. The resulting performance is within 10% of the bandwidth benchmark peak. Additionally, results on the Intel GPU are compared with the CUDA-optimized code on NVIDIA hardware. The CUDA-optimized implementations on NVIDIA A100 demonstrate superior absolute performance; however, the Intel GPU achieves higher performance as a percentage of bandwidth benchmark peak, indicating more efficient utilization of available memory bandwidth in the proposed implementation.

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

DOI

10.25777/187d-zf61

ISBN

9798293841745

Download

Share

COinS