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Numerous equation solver research and development efforts exist and release software libraries, for example, Trilinos [39, 40], PETSc [41], FETI [42, 43], Hypre [44], and Prometheus [45]. Each of these equation solver libraries has its own unique application programmer interface (API) that typically re ects the semantics of linear algebra, as opposed to the semantics of mesh entities and elds. A single mesh-oriented interface to a diverse set of equation solver libraries is de ned in the Sierra framework [11] by mapping the abstractions of mesh entities and elds to the equation solver abstractions of equations and unknowns. A discretization method (e.g., nite element, nite volume) generates a set of equations that are to be solved for a set of degrees of freedom. Given A : X Y and y Y, nd x X such that y = A(x). (11.25) The degrees of freedom, de ned by the domain space X, correspond to the set of eld values to be solved. The range space Y may match the domain space and thus have an identical correspondence to the set of eld values to be solved. While it is not assumed that the range space matches the domain space, it is assumed that the range space and domain space have a similar substructuring.

The design and implementation of GrACE was driven by the needs from applications, domain scientists, available HPC systems, and available communication mechanisms In this section, we present a requirement analysis based on application, communication, and system-level perspectives GrACE and its predecessor, the DAGH infrastructure, were initially developed to support the computational requirements of the binary black hole (BBH) NSF grand challenge project GrACE has been extended and expanded to support a wide range of applications, including computational uid dynamics, numerical relativity, combustion simulations, subsurface modeling, and oil reservoir simulation [1, 2, 7, 8] These applications are based on the Berger Oliger AMR algorithm To enable high-performance parallel implementation of such a class of applications, GrACE (and DAGH) was designed through a set of generic interfaces and templates In particular, the application requirements are as follows: (1) High-performance parallel implementation of Berger Oliger structured AMR algorithm.

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(2) GrACE should be highly portable to support the wide range of applications and hardware architectures due to different needs and different system setups in this diverse application base (3) Visualization, checkpointing, and restart should be supported to aid visualized analysis, fault tolerance, data logging, and debugging (4) Shadow hierarchy should be supported to enable error analysis (5) Dynamic and distributed data management should be designed and implemented ef ciently with minimal communication overheads (6) Multiple different grid types and computational operators must be supported (7) Reuse of existing Fortran and C heritage codes should be supported Communication requirements of parallel SAMR applications primarily consist of four components: (1) Interlevel communications, de ned between component grids at different levels of the grid hierarchy and consist of prolongations (coarse to ne transfer and interpolation) and restrictions ( ne to coarse transfer and interpolation).

(2) Intralevel communications, required to update the grid elements along the boundaries of local portions of a distributed component grid, consisting of near-neighbor exchanges (3) Synchronization cost, which occurs when the load is not balanced among processors (4) Data migration cost, which occurs between two successive regridding and remapping steps..

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