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Stencil-based applications such as CFD have succeeded in obtaining high performance on GPU supercomputers. The problem sizes of these applications are limited by the GPU device memory capacity, which is typically smaller than the host memory. On GPU supercomputers, a locality improvement technique using temporal blocking method with memory swapping between host and device enables large computation...
Adaptive Mesh Refinement methods reduce computational requirements of problems by increasing resolution for only areas of interest. However, in practice, efficient AMR implementations are difficult considering that the mesh hierarchy management must be optimized for the underlying hardware. Architecture complexity of GPUs can render efficient AMR to be particularity challenging in GPU-accelerated...
Billion of particles are required to describe fluid dynamics by using smoothed particle hydrodynamics (SPH), which computes short-range interactions among particles. In this study, we develop a novel code of large-scale SPH simulations on a multi-GPU platform by using the domain decomposition technique. The computational load of each decomposed domain is dynamically balanced by applying domain re-decomposition,...
The weather prediction code demands large computational performance to achieve fast and high-resolution simulations. Skillful programming techniques are required for obtaining good parallel efficiency on GPU supercomputers. Our framework-based weather prediction code ASUCA has achieved good scalability with hiding complicated implementation and optimizations required for distributed GPUs, contributing...
Real-world simulations based on fluid dynamics require huge amount of computer resources. Only by large-scale computation on world top-class supercomputers the computational demands can be satisfied. We demonstrate three applications carried out on the whole TSUBAME 2.0 system, which has 2.4 PFLOPS of the peak performance with more than 4,000 GPUs (Graphics Processing Unit) at the Tokyo Institute...
The mechanical properties of metal materials largely depend on their intrinsic internal microstructures. To develop engineering materials with the expected properties, predicting patterns in solidified metals would be indispensable. The phase-field simulation is the most powerful method known to simulate the micro-scale dendritic growth during solidification in a binary alloy. To evaluate the realistic...
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