Using Parallel Processing on GPUs to Accelerate Finite-Difference Time-Domain Algorithms for Electromagnetic and Seismic Applications

Many scientific, technical and engineering applications in finance, medical imaging, modeling, simulation, and image processing can benefit greatly from the floating point acceleration offered by modern general purpose graphics processing units (GPGPU). Today’s graphics processors have evolved into sophisticated, massively-parallel, highly-programmable compute engines ideally suited for algorithms with a high degree of data parallelism. Combined with modern parallel programming languages and application interfaces such as industry standard OpenCL™, GPGPU offers a new paradigm for high-performance computing (HPC).