Git Product home page Git Product logo

isph_nvidia_cuda_contest's Introduction

ISPH_NVIDIA_CUDA_CONTEST

GPU Accelerated Incompressible Fluid Simulation for NVIDIA’s 2013/2014 CUDA Campus Programming Contest

Description:

SPH method has a wide application in physics engines such as NVIDIA PhysX. However, it is difficult for SPH to satisfy the incompressibility condition, which leads to compressibility artifact in realistic fluid simulations. To solve this problem, the efficient PCISPH algorithm is used to simulate incompressible fluids. Furthermore, the algorithm is parallelized and optimized on the GPU with CUDA. This has improved the visual realism of the fluids as well as the simulation performance.

References:

[1] Standard SPH:

M. M¨uller, D. Charypar, M. Gross. Particle-based fluid simulation for interactive applications[C]//Proceedings of the 2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation. 2003. Aire-la-Ville, Geneva, Switzerland: Eurographics Association, SCA ’03.

[2] Weakly Compressible SPH (WCSPH):

M. Becker, M. Teschner. Weakly compressible SPH for free surface flows[C]//Proceedings of the 2007 ACM SIGGRAPH/Eurographics Symposium on Computer Animation. 2007. Aire-la-Ville, Switzerland, Switzerland: Eurographics Association, SCA ’07.

[3] Predictive-Corrective Incompressible SPH (PCISPH) :

B. Solenthaler, R. Pajarola. Predictive-corrective incompressible SPH[J]. ACM Transactions on Graphics (Proceedings SIGGRAPH), 2009, 28(3):1–6.

[4] R. C. Hoetzlein, “Fast Fixed-Radius Nearest Neighbors: InteractiveMillion-Particle Fluids,” inGPU Tech. Conf., 2014.

Portfolio:

YouTube Link: https://www.youtube.com/watch?v=oOEX17RnOgU&feature=youtu.be

Youku Link http://v.youku.com/v_show/id_XODIwMzI1MTQw.html?from=y1.7-1.2

Development Environment:

Windows 7 & Visual C++ 2010 & CUDA Toolkit v7.0 (The default CUDA toolkit installation location is C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.0)

Coding style:

Coding style for this project generally follows the Google C++ Style Guide

Note:

The CUDA tookit has been upgraded from v5.5 to v7.0.

About Compilation & Parameter Setting & Keyboard Commands:

Please refer to the short documentation (Currently it's only written in Chinese)

isph_nvidia_cuda_contest's People

Contributors

gfans avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.