High Performance Computing (HPC) is crucial in a number of sectors, including weather forecasts, particle simulations and fluid dynamics. Existing programming frameworks for HPC expose developers to low-level details such as message passing and explicit memory management, which are hard to program and error-prone.

In this paper, we present ongoing work on increasing the level of abstraction for HPC. We tackle this problem with an approach based on a combination of multitier programming and reactive programming which enables the development of complex processor configurations in a uniform way using event streams as communication pattern. We report our experience with LULESH, a well known HPC benchmark, and we outline our research roadmap.