| LDR | | 03101nmm uu200457 4500 |
| 001 | | 000000332213 |
| 005 | | 20240805170408 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438283534 |
| 035 | |
▼a (MiAaPQ)AAI10969838 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 629.1 |
| 100 | 1 |
▼a Lou, Jialin. |
| 245 | 10 |
▼a Development and Implementation of Reconstructed Discontinuous Galerkin Methods for Computational Fluid Dynamics on GPUs. |
| 260 | |
▼a [S.l.] :
▼b North Carolina State University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 243 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Hong Luo. |
| 502 | 1 |
▼a Thesis (Ph.D.)--North Carolina State University, 2018. |
| 520 | |
▼a Recently, the application of general-purpose graphics processing unit (GPGPU) technology to the computational fluid dynamics (CFD) solvers has been popular. With GPGPU, one can benefit from an exciting opportunity to significantly accelerate the |
| 520 | |
▼a The discontinuous Galerkin (DG) finite element methods, originally introduced for the solution of neutron transport equation in 1973, has become popular for CFD research for the last few decades. To overcome the high computing costs associated w |
| 520 | |
▼a The objective of the effort presented in this Ph.D. work is to port an unstructured CFD solver, reconstructed discontinuous Galerkin flow solver (RDGFLO), onto GPU platform using OpenACC. The solver is based on a third-order hierarchical Weighte |
| 520 | |
▼a A hyperbolic rDG method based on first order hyperbolic system (FOHS) is developed in this work. In addition to the least-squares reconstruction, the variational reconstruction scheme is also adopted to obtain arbitrary higher-order moments with |
| 520 | |
▼a In this study, both underlying DG(P1) scheme and rDG(P1P2) scheme which indicates that a quadratic polynomial solution is obtained from the underlying linear polynomial DG solution via a hierarchical WENO reconstruction, are ported onto GPGPU pl |
| 520 | |
▼a A number of inviscid and viscous flow problems are presented to verify the implementation of the developed schemes on the GPU. Strong scaling tests are carried out to compare the unit running time on single GPU and single CPU to obtain the speed |
| 520 | |
▼a In summary, the developed GPU accelerated rDG method and the hyperbolic rDG schemes have a great potential to become a viable, attractive, competitive and ultimately superior high- order methods in the field of computational fluid dynamics. |
| 590 | |
▼a School code: 0155. |
| 650 | 4 |
▼a Aerospace engineering. |
| 650 | 4 |
▼a Mathematics. |
| 690 | |
▼a 0538 |
| 690 | |
▼a 0405 |
| 710 | 20 |
▼a North Carolina State University. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0155 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001279
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |