**Volume Title** ASP Conference Series, Vol. **Volume Number** **Author** c©**Copyright Year* * Astronomical Society of the Pacific Efficient Parallelization for AMRMHDMultiphysics Calculations;

Abstract. Current AMR simulations require algorithms that are highly parallelized and manage memory efficiently. As compute engines grow larger, AMR simulations will require algorithms that achieve new levels of efficient parallelization and memory management. We have attempted to employ new techniques to achieve both of these goals. Patch or grid based AMR often employs ghost cells to decouple the hyperbolic advances of each grid on a given refinement level. This decoupling allows each grid to be advanced independently. In AstroBEAR we utilize this independence by threading the grid advances on each level with preference going to the finer level grids. This al-lows for global load balancing instead of level by level load balancing and allows for greater parallelization across both physical space and AMR level. Threading of level advances can also improve performance by interleaving communication with computa-tion, especially in deep simulations with many levels of refinement. To improve mem-ory management we have employed a distributed tree algorithm that requires processors to only store and communicate local sections of the AMR tree structure with neighbor-ing processors