Abstract
Algorithms for numerically solving partial differential equations (PDEs) are used in different application domains to approximate the physics of interest. In the context of seismic applications, the process has a high computational cost as they constitute the computational core of inverse problems involving computation in the order of Exascale. The demand for high performance implies that…