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Clawpack is a library for solving nonlinear hyperbolic partial differentialequations using high-resolution finite volume methods based on Riemann solversand limiters. It supports Adaptive Mesh Refinement (AMR), which is essential insolving multi-scale problems. Recently, we added capabilities to accelerate thecode by using the Graphics Process Unit (GPU). Routines that manage CPU and GPUAMR data and facilitate the execution of GPU kernels are added. Customized andCPU thread-safe memory managers are designed to manage GPU and CPU memorypools, which is essential in eliminating the overhead of memory allocation andde-allocation. A global reduction is conducted every time step for dynamicallyadjusting the time step based on Courant number restrictions. Some small GPUkernels are merged into bigger kernels, which greatly reduces kernel launchingoverhead. A speed-up between $2$ and $3$ for the total running time is observedin an acoustics benchmark problem.

Accelerating wave-propagation algorithms with adaptive mesh refinement using the Graphics Processing Unit (GPU)