2018
DOI: 10.1016/j.cpc.2018.01.005
|View full text |Cite
|
Sign up to set email alerts
|

Incompressible SPH (ISPH) with fast Poisson solver on a GPU

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
61
0
2

Year Published

2018
2018
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 83 publications
(64 citation statements)
references
References 55 publications
1
61
0
2
Order By: Relevance
“…The standard SPH adopts this strategy. Another approach solves for fluid pressure implicitly by a twostep algorithm and imposes the fluid incompressibility [20,22,42] and CPM adopts the latter approach. In the predictor step, the temporary particle velocities ( * v ) and positions ( * r ) are computed by neglecting the pressure gradient term:…”
Section: Cpm Methodologymentioning
confidence: 99%
“…The standard SPH adopts this strategy. Another approach solves for fluid pressure implicitly by a twostep algorithm and imposes the fluid incompressibility [20,22,42] and CPM adopts the latter approach. In the predictor step, the temporary particle velocities ( * v ) and positions ( * r ) are computed by neglecting the pressure gradient term:…”
Section: Cpm Methodologymentioning
confidence: 99%
“…The use of OpenCL allows the use of NVIDIA or AMD GPUs and the same code can be executed on multi-core CPUs. GPU implementations of ISPH can be found in [117][118][119]. The work in [117] presented a solver written in OpenCL that could be executed on a CPU or GPU and the performance of both architectures was compared.…”
Section: High Performance Computing Solutions For Complex Hydraulic Ementioning
confidence: 99%
“…The work in [118] showed an ISPH code to perform realistic fluid simulations in real time, so some simplifications were applied to increase the speed of execution. The work in [119] implemented an optimized GPU solver starting from [111] and achieved a speedup close to 5 against CPU simulations with 16 threads. GPU implementations of MPS can also be found in [120] for 2D and in [121] for 3D free surface simulations.…”
Section: High Performance Computing Solutions For Complex Hydraulic Ementioning
confidence: 99%
“…Such refined algorithms (numerical integration of hydrodynamic equations) provide a high order of accuracy in space and time [1,3,11,13,16]. Another way is to increase the efficiency of parallel computing where the main aim is the massive transition to graphics processors (GPUs) [2,5,7].…”
Section: Introductionmentioning
confidence: 99%