SAIP2014

A GPU Based Polyhedral Particle DEM Transport Code

10 Jul 2014, 11:10

20m

D Les 104

Oral Presentation Track G - Theoretical and Computational Physics Theoretical

Speaker

Mr Nicolin govender (CSIR, University of Johannesburg)

Level for award<br>&nbsp;(Hons, MSc, <br> &nbsp; PhD)?

PhD

Apply to be<br> considered for a student <br> &nbsp; award (Yes / No)?

Yes

Would you like to <br> submit a short paper <br> for the Conference <br> Proceedings (Yes / No)?

Yes

Main supervisor (name and email)<br>and his / her institution

Daniel Nico Wilke,University of Pretoria, nico.wilke@up.ac.za

Abstract content <br> &nbsp; (Max 300 words)<br><a href="http://events.saip.org.za/getFile.py/access?resId=0&materialId=0&confId=34" target="_blank">Formatting &<br>Special chars</a>

Discrete Element (DEM) simulations are useful in a number of engineering disciplines such as mining, agriculture, etc. However the computational cost of discrete methods limits the number and detail of particles that can be simulated in a reasonable time frame without the use of a dedicated CPU cluster. This paper introduces a novel DEM based particle simulation code (BLAZE-DEM) that is capable of simulating millions of particles on a desktop computer utilizing a NVIDIA Kepler Graphical Processor Unit (GPU) via the CUDA programming model. BLAZE-DEM is 4 times faster than any other published code and capable of simulating over 50 million polyhedral particles compared to just 256 thousand by other codes.