Fast fluid simulation using cluster system and graphics processing unit
In recent years, fluid simulation has gained much attention in the computer graphics community. It has been extensively used in graphics and its applications such as movies, games and virtual reality to enhance realism. Several efforts have been made to reduce the computational cost of fluid simulat...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/10356/35721 |
| _version_ | 1811681541284167680 |
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| author | Lee, Zhuo Qi. |
| author2 | Henry Johan |
| author_facet | Henry Johan Lee, Zhuo Qi. |
| author_sort | Lee, Zhuo Qi. |
| collection | NTU |
| description | In recent years, fluid simulation has gained much attention in the computer graphics community. It has been extensively used in graphics and its applications such as movies, games and virtual reality to enhance realism. Several efforts have been made to reduce the computational cost of fluid simulation while retaining visual quality, one of which is the method known as “Lattice Boltzmann Method” (LBM). However, when it is run on a PC, it is still unable to produce simulation result at real time. Thus, an existing CPU based LBM simulation was ported into two platforms: a CPU cluster using Message Passing Interface (MPI), and Graphics Processing Unit (GPU) using Compute Unified Device Architecture (CUDA). The implementation details regarding the two platforms as well as some optimization issues are discussed. In addition, we also discuss and compare the performance of the two systems. |
| first_indexed | 2024-10-01T03:42:35Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/35721 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:42:35Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/357212023-03-03T20:33:02Z Fast fluid simulation using cluster system and graphics processing unit Lee, Zhuo Qi. Henry Johan School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics In recent years, fluid simulation has gained much attention in the computer graphics community. It has been extensively used in graphics and its applications such as movies, games and virtual reality to enhance realism. Several efforts have been made to reduce the computational cost of fluid simulation while retaining visual quality, one of which is the method known as “Lattice Boltzmann Method” (LBM). However, when it is run on a PC, it is still unable to produce simulation result at real time. Thus, an existing CPU based LBM simulation was ported into two platforms: a CPU cluster using Message Passing Interface (MPI), and Graphics Processing Unit (GPU) using Compute Unified Device Architecture (CUDA). The implementation details regarding the two platforms as well as some optimization issues are discussed. In addition, we also discuss and compare the performance of the two systems. Bachelor of Engineering (Computer Science) 2010-04-23T01:30:37Z 2010-04-23T01:30:37Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/35721 en Nanyang Technological University 56 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Lee, Zhuo Qi. Fast fluid simulation using cluster system and graphics processing unit |
| title | Fast fluid simulation using cluster system and graphics processing unit |
| title_full | Fast fluid simulation using cluster system and graphics processing unit |
| title_fullStr | Fast fluid simulation using cluster system and graphics processing unit |
| title_full_unstemmed | Fast fluid simulation using cluster system and graphics processing unit |
| title_short | Fast fluid simulation using cluster system and graphics processing unit |
| title_sort | fast fluid simulation using cluster system and graphics processing unit |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics |
| url | http://hdl.handle.net/10356/35721 |
| work_keys_str_mv | AT leezhuoqi fastfluidsimulationusingclustersystemandgraphicsprocessingunit |