  On modern supercomputers, asynchronous many task systems are emerging to
address the new architecture of computational nodes. Through this shift of
increasing cores per node, a new programming model with the focus on handle the
fine-grain parallelism of this increasing amount of cores per computational
node is needed. Asynchronous Many Task (AMT) run time systems represent an
emerging paradigm for addressing fine-grain parallelism since they handle the
increasing amount of threads per node and concurrency. HPX, a open source C++
standard library for parallelism and concurrency, is one AMT which is confirm
with the C++ standard. Which means that HPX's Application Programming Interface
(API) is confirm with its definition by the C++ standard committee. For example
for the concept of futurization the hpx:future can be replaced by std::future
without breaking the API. Peridynamics is a non-local generalization of
continuum mechanics tailored to address discontinuous displacement fields
arising in fracture mechanics. As many non-local approaches, peridynamics
requires considerable computing resources to solve practical problems. This
paper investigates the implementation of a peridynamics EMU nodal
discretization in an asynchronous task-based fashion. The scalability of
asynchronous task-based implementation is to be in agreement with theoretical
estimations. In addition, to the scalabilty the code is convergent for implicit
time integration and recovers theoretical solutions. Explicit time integration,
convergence results are presented to showcase the agreement of results with
theoretical claims in previous works.
