We give an overview of an implementation of Reverse Time Migration (RTM) on heterogeneous multi-core hardware based on Graphics Processing Units (GPUs). We demonstrate the clear advantages of GPU-based hardware for RTM, not only in terms of performance for small to mid-scale problem sizes, but also for imaging 3D volumes on a scale appropriate to full Wide-Azimuth (WAZ) or Rich-Azimuth (RAZ) surveys in areas such as the Gulf of Mexico. We also point to advantages of GPU-based hardware in terms of energy efficiency.
Fastest-possible FDTD simulation performance on GPU and multi-core hardware is a key objective for partners and end users alike. The hardware and Acceleware software libraries that make it run are obviously key determinants of the ultimate performance, but partners and end users can still have a large impact on the performance in ways that are not always obvious. This document outlines several key simulation parameters that impact simulation performance.