TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble

<table>Synthetic problem setup with 7 spheres of variable density contrast (not scaled). Ensemble size of 22 km <svg height="8.5" id="M126" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 10.1 8.5" width="10.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,8.438)"><path d="M528 54l-36 -38l-198 201l-198 -201l-36 38l197 200l-197 201l36 38l198 -202l198 202l36 -38l-197 -201z" id="xD7"></path></g>
</svg> 22 km <svg height="8.5" id="M127" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 10.1 8.5" width="10.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,8.438)"><path d="M528 54l-36 -38l-198 201l-198 -201l-36 38l197 200l-197 201l36 38l198 -202l198 202l36 -38l-197 -201z" id="xD7"></path></g>
</svg> 8 km, 251,946 conform the spheres.</table>

Journal of Applied Mathematics

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Figure 6

Figure 6: TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble 