2026-09-20T18:12:41Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/127161 2025-03-29 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms The student, Zheyuan Zhang, accepted the attached license on 2024-10-18 at 22:19. The student, Zheyuan Zhang, submitted this Thesis for approval on 2024-10-18 at 22:44. This Thesis was approved for publication on 2024-10-23 at 16:44. DSpace SAF Submission Ingestion Package generated from Vireo submission #21261 on 2025-03-28 at 14:25:10 GPU acceleration for spherical grid tomography Zhang, Zheyuan 2024-10-23 Lumetta, Steven Sam Butala, Mark Gpu Acceleration Solar Tomography eng Tomography reconstructs cross-sectional images from multi-directional data and plays a crucial role in fields such as medical imaging and solar physics. In solar physics, tomography is crucial for reconstructing 3-D electron density volumes of the solar corona from 2-D coronagraph images. This thesis investigates how factors like grid resolution, the number of viewpoints, and view angles influence reconstruction accuracy and computational cost in solar tomography. Through a series of controlled experiments using synthetic data, we explore the tradeoffs between these factors to provide insights into optimizing future solar tomography tasks. To enable these computationally intensive experiments, we develop a GPU-accelerated forward model framework specifically designed for spherical grids. This framework achieves a significant speedup of 27x to 270x compared to sequential implementations, allowing us to conduct large-scale simulations and reconstructions efficiently. This work not only advances the understanding of the solar tomography reconstruction but also paves the way for future advancements in space tasks. 2024-12 Thesis https://hdl.handle.net/2142/127161 Copyright 2024 Zheyuan Zhang Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign M.S. Thesis