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