Wasatch: Addressing Multiphsyics and Hardware Complexity in a High-Performance Computing Environment

To address the coding and software challenges of modern hybrid architectures, we propose an approach to multiphysics code development for high-performance computing. This approach is based on using a Domain Specific Language (DSL) in tandem with a directed acyclic graph (DAG) representation of the problem that allows runtime algorithm generation. When coupled with a large-scale parallel framework, the result is a portable development framework capable of executing on hybrid platforms and handling the challenges of multiphysics applications. We share our experience developing a code in such an environment an effort that spans an interdisciplinary team of engineers and computer scientists.