Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="475478.fig.005a" src="https://static.hindawi.com/articles/mse/volume-2013/475478/figures/475478.fig.005a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>  Evolution of total number distribution of particles over time</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="475478.fig.005b" src="https://static.hindawi.com/articles/mse/volume-2013/475478/figures/475478.fig.005b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Evolution of total volume of particles over time</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="475478.fig.005c" src="https://static.hindawi.com/articles/mse/volume-2013/475478/figures/475478.fig.005c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Evolution of average diameter of a particle over time</td></tr></table></td></tr></table>

<table>Comparison of temporal evolution of granule physical properties for a sequential and parallel PBM code, grid size = 15.</table>

Modelling and Simulation in Engineering

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Figure 5

Figure 5: Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs 