  The addition of nuclear and neutrino physics to general relativistic fluid
codes allows for a more realistic description of hot nuclear matter in neutron
star and black hole systems. This additional microphysics requires that each
processor have access to large tables of data, such as equations of state, and
in large simulations the memory required to store these tables locally can
become excessive unless an alternative execution model is used. In this work we
present relativistic fluid evolutions of a neutron star obtained using a
message driven multi-threaded execution model known as ParalleX. These neutron
star simulations would require substantial memory overhead dedicated entirely
to the equation of state table if using a more traditional execution model. We
introduce a ParalleX component based on Futures for accessing large tables of
data, including out-of-core sized tables, which does not require substantial
memory overhead and effectively hides any increased network latency.
