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Several applications in astrophysics require adequately resolving manyphysical and temporal scales which vary over several orders of magnitude.Adaptive mesh refinement techniques address this problem effectively but oftenresult in constrained strong scaling performance. The ParalleX execution modelis an experimental execution model that aims to expose new forms of programparallelism and eliminate any global barriers present in a scaling-impairedapplication such as adaptive mesh refinement. We present two astrophysicsapplications using the ParalleX execution model: a tabulated equation of statecomponent for neutron star evolutions and a cosmology model evolution.Performance and strong scaling results from both simulations are presented. Thetabulated equation of state data are distributed with transparent access overthe nodes of the cluster. This allows seamless overlapping of computation withthe latencies introduced by the remote access to the table. Because of theexpected size increases to the equation of state table, this type of tablepartitioning for neutron star simulations is essential while the implementationis greatly simplified by ParalleX semantics.

Adaptive Mesh Refinement for Astrophysics Applications with ParalleX