@inproceedings{d3b56a6b4ec44f6c85ef0085559057c1,
title = "CPU parallelization and GPU acceleration of SUAVE: Advancements in sampling and optimization",
abstract = "This investigation examines the application of two strategies for reducing computation time required by the aircraft design suite SUAVE-CPU parallelization and GPU accereration. Results are shown for the application of between 1 and 24 simultaneous, asynchronous computations and JIT compilation of code for GPU execution via a JAX-XLA-CUDA stack. CPU parallelization is shown to degrade performance, and GPU acceleration to improve it by five orders of magnitude.",
author = "Smart, {Jordan T.} and Alonso, {Juan J.}",
note = "Publisher Copyright: {\textcopyright} 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 ; Conference date: 11-01-2021 Through 15-01-2021",
year = "2021",
language = "English (US)",
isbn = "9781624106095",
series = "AIAA Scitech 2021 Forum",
publisher = "American Institute of Aeronautics and Astronautics Inc. (AIAA)",
pages = "1--8",
booktitle = "AIAA Scitech 2021 Forum",
address = "United States",
}