Abstract-Understanding three-dimensional seismic wave propagation in complex media is still one of the main challenges of quantitative seismology. Because of its simplicity and numerical efficiency, the finite-differences method is one of the standard techniques implemented to consider the elastodynamics equation. Additionally, this class of modeling heavily relies on parallel architectures in order to tackle large scale geometries including a detailed description of the physics. Last decade, significant efforts have been devoted towards efficient implementation of the finitedifferences methods on emerging architectures. These contributions have demonstrated their efficiency leading to robust industrial applications. The growing representation of heterogeneous architectures combining general purpose multicore platforms and accelerators leads to re-design current parallel application. In this paper, we consider StarPU task-based runtime system in order to harness the power of heterogeneous CPU+GPU computing nodes. We detail our implementation and compare the performance obtained with the classical CPU or GPU only versions. Preliminary results demonstrate significant speedups in comparison with the best implementation suitable for homogeneous cores.
Martinez et al. REF apply the StarPU task-based runtime system in order to harness the processing power of heterogeneous CPU+GPU computing nodes.
Towards Seismic Wave Modeling on Heterogeneous Many-Core Architectures Using Task-Based Runtime System
2015 27th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
2015 27th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
Computer Science