7-11 July 2014
Africa/Johannesburg timezone
<a href="http://events.saip.org.za/internalPage.py?pageId=16&confId=34"><font color=#0000ff>SAIP2014 Proceedings published on 17 April 2015</font></a>

A GPU Based Polyhedral Particle DEM Transport Code

10 Jul 2014, 11:10
20m
D Les 104

D Les 104

Oral Presentation Track G - Theoretical and Computational Physics Theoretical

Speaker

Mr Nicolin govender (CSIR, University of Johannesburg)

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

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

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

Yes

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

Yes

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

PhD

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.

Primary author

Mr Nicolin govender (CSIR, University of Johannesburg)

Co-authors

Dr Daniel Wilke (University of Pretoria) Prof. Schalk Kok (University of Pretoria)

Presentation Materials

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