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Stencil computation arises from a broad set of scientific and engineering applications and often plays a critical role in the performance of extreme-scale simulations. Due to the memory bound nature, it is a challenging task to opti- mize stencil computation kernels on modern supercomputers with relatively high computing throughput whilst relatively low data-moving capability. This work serves as...
FPGA-based reconfigurable dataflow engines provide a novel architecture to achieve breakthroughs in both time and energy to solution in numerical simulations. This article presents an efficient dataflow methodology for solving the Euler atmospheric dynamic equations, an essential step for mesoscale atmospheric simulation. The authors present customizable optimizations such as hybrid decomposition,...
An ultra-scalable fully-implicit solver is developed for stiff time-dependent problems arising from the hyperbolic conservation laws in nonhydrostatic atmospheric dynamics. In the solver, we propose a highly efficient hybrid domain-decomposed multigrid preconditioner that can greatly accelerate the convergence rate at the extreme scale. For solving the overlapped subdomain problems, a geometry-based...
As a traditional application on various supercomputers, atmospheric modeling has long been suffering from the low performance efficiency. In this paper, we pick the 3D Euler equation solver (the most essential dynamic component for a non-hydrostatic atmospheric model) as the target application, and explore the maximum performance efficiency that can be achieved on CPU-GPU hybrid architectures. Besides...
There is an urgent demand in studying efficient methodologies to enable hybrid multi- and many-core accelerations in global climate simulations. The Model for Prediction Across Scales (MPAS) is a family of earth-system component models that receives increasingly more attention. Like many other models, MPAS, though features some emerging numerical algorithms, employs a pure MPI approach for parallel...
In this work an ultra-scalable algorithm is designed and optimized to accelerate a 3D compressible Euler atmospheric model on the CPU-MIC hybrid system of Tianhe-2. We first reformulate the mesocale model to avoid long-latency operations, and then employ carefully designed inter-node and intra-node domain decomposition algorithms to achieve balance utilization of different computing units. Proper...
Atmospheric modeling is an essential issue in the study of climate change. However, due to the complicated algorithmic and communication models, scientists and researchers are facing tough challenges in finding efficient solutions to solve the atmospheric equations. In this paper, we accelerate a solver for the three-dimensional Euler atmospheric equations through reconfigurable data flow engines...
Under the circumstance of earth observation data booming, it is important to develop an intelligent and automatic processing method for the geospatial data. Currently the OGC web services standard offer unique interfaces for the geospatial data planning, accessing, processing and publishing. This paper focuses on the Web processing model building and implementing — how to organize the distributed...
Morphing concepts for missiles have been a topic of current research interest in aerospace engineering. For the morphing wings technology of missile, a kind of autopilot design method is proposed by H∞ control theory. In order to have the better flight performance in the different regimes, the missile can automatically change the wings area symmetrically. The nonlinear dynamic model is established,...
3D visualization on electromagnetic environment (EME) is one of the most important research fields in virtual battle space. This paper presents a novel approach on visualizing the 3D EME by direct volume rendering on 3D globe. 3D power volumetric data is calculated based on the Longley-Rice radio propagation model(Irregular Terrain Model, ITM), which takes into account the effects of irregular terrain...
Computer generated clouds are indispensable in virtual environments nowadays. This paper proposes a probability fields controlling cellular automata method. Creation of the probability fields adoptes fractional Brownian motion (fBm) which accords with the natural chaotic motion of particles and endows the results with realistic cloudy characteristics. We accelerate our simulation by running all the...
3D visualization on radar information is one of the most important research fields in virtual battle space, and it's useful in radar performance analysis. This paper presents a novel cylindrical volume rendering approach on visualizing the radar information in complicated environment. 3D radar volumetric data is calculated based on advanced propagation model (APM), which takes into account the effects...
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