A Large-Scale Malleable Tsunami Simulation Realized on an Elastic MPI Infrastructure
Ao Mo-Hellenbrand, Isaías Comprés, Oliver Meister, Hans‐Joachim Bungartz, Michael Gerndt, Michael Bader · 2017
Realization of resource awareness and elasticity in hardware and software is an answer to many problems and challenges we are facing in High Performance Computing (HPC) today. Resource utilization inefficiency is a real problem in current HPC systems due to the current static, inflexible resource assignment configuration. One way to resolve this problem is to change the static resource assignment setting---by introducing runtime resource elasticity, which requires both malleability in software implementation and support for runtime resource adaptation in the system infrastructure. In this paper, we show a successful implementation of a malleable tsunami simulation realized on an elastic MPI infrastructure we previously proposed. We also prove that introducing malleability to such a tightly coupled parallel application can be beneficial.