Parallel Computing Technologies and Rendering Optimization in the Problem of Fluid Simulation by the Example of the Incompressible Schrödinger Flow Method

Standard

Parallel Computing Technologies and Rendering Optimization in the Problem of Fluid Simulation by the Example of the Incompressible Schrödinger Flow Method. / Tiulkin, B.

In: Physics of Particles and Nuclei, Vol. 55, No. 3, 2024, p. 519-521.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{97a09e9e11764d299ad183c7c8b5aba8,

title = "Parallel Computing Technologies and Rendering Optimization in the Problem of Fluid Simulation by the Example of the Incompressible Schr{\"o}dinger Flow Method",

abstract = "The task of fluid simulation is computationally difficult, both in terms of the required computational costs and in terms of representing the system with a large number of particles. This study considers various methods for solving this problem, such as the use of parallel computing, rendering optimization, and optimizing information transfer between the CPU and GPU. The work was conducted in the Unity environment. The study explores technologies such as GPU Instancing, Unity DOTS, C# Job System, Burst Compiler, Entity Component System, Shaders, Compute Shaders, and CUDA. A comparison and selection of features and areas of application for each technology are carried out. An example of the utilization of these tools in implementing the incompressible Schr{\"o}dinger flow method is provided.",

author = "B. Tiulkin",

year = "2024",

doi = "10.1134/S1063779624030882",

language = "русский",

volume = "55",

pages = "519--521",

journal = "Physics of Particles and Nuclei",

issn = "1063-7796",

publisher = "МАИК {"}Наука/Интерпериодика{"}",

number = "3",

}

RIS

TY - JOUR

T1 - Parallel Computing Technologies and Rendering Optimization in the Problem of Fluid Simulation by the Example of the Incompressible Schrödinger Flow Method

AU - Tiulkin, B.

PY - 2024

Y1 - 2024

N2 - The task of fluid simulation is computationally difficult, both in terms of the required computational costs and in terms of representing the system with a large number of particles. This study considers various methods for solving this problem, such as the use of parallel computing, rendering optimization, and optimizing information transfer between the CPU and GPU. The work was conducted in the Unity environment. The study explores technologies such as GPU Instancing, Unity DOTS, C# Job System, Burst Compiler, Entity Component System, Shaders, Compute Shaders, and CUDA. A comparison and selection of features and areas of application for each technology are carried out. An example of the utilization of these tools in implementing the incompressible Schrödinger flow method is provided.

AB - The task of fluid simulation is computationally difficult, both in terms of the required computational costs and in terms of representing the system with a large number of particles. This study considers various methods for solving this problem, such as the use of parallel computing, rendering optimization, and optimizing information transfer between the CPU and GPU. The work was conducted in the Unity environment. The study explores technologies such as GPU Instancing, Unity DOTS, C# Job System, Burst Compiler, Entity Component System, Shaders, Compute Shaders, and CUDA. A comparison and selection of features and areas of application for each technology are carried out. An example of the utilization of these tools in implementing the incompressible Schrödinger flow method is provided.

U2 - 10.1134/S1063779624030882

DO - 10.1134/S1063779624030882

M3 - статья

VL - 55

SP - 519

EP - 521

JO - Physics of Particles and Nuclei

JF - Physics of Particles and Nuclei

SN - 1063-7796

IS - 3

ER -

ID: 150255077