Titlebook: GPU Solutions to Multi-scale Problems in Science and Engineering; David A. Yuen,Long Wang,Yaolin Shi Book 2013 Springer-Verlag Berlin Heid

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Why Do Scientists and Engineers Need GPU’s Today?le cost. The tremendous computational power of graphics processors (GPU) provides a great opportunity for those willing to rethink algorithms and rewrite existing simulation codes. In this introduction, we give a brief survey of GPU computing, and its potential capabilities, intended for the general

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Efficiency, Energy Efficiency and Programming of Accelerated HPC Servers: Highlights of PRACE Studiey a divergence. The divergence is driven by the quest for performance, cost-performance and in the last few years also energy consumption that during the life-time of a system have come to exceed the HPC system cost in many cases. Mass market, specialized processors, such as the Cell Broadband Engin

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GRAPE and GRAPE-DRtor attached to general-purpose PCs or x86-based servers. The processor chip of a GRAPE-DR board have 512 cores operating at the clock frequency of 400?MHz. The peak speed of a processor chip is 410 Gflops (single precision) or 205 Gflops (double precision). A GRAPE-DR board consists of four GRAPE-D

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P,: A Unifying Array Representation for Heterogeneous Parallelismrallel systems like GPU clusters. The current practice of software development requires combining several low-level libraries like Pthread, OpenMP, CUDA and MPI. Achieving productivity and portability is hard with different numbers and models of GPUs. P. extends mainstream C programming with novel a

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GPU Best Practices for HPC Applications at Industry Scale order to achieve speed-up through exploiting the potential of fine-grain parallelism in applications. The trend is led by graphics processing units (GPUs) which have recently been developed exclusively for computational tasks as massively-parallel co-processors to conventional x86 CPUs. Since the i

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Simulation of 1D Condensing Flows with CESE Method on GPU Clusterth shock tube. In the present work, the CESE Method has been implemented on a graphics card 9800GT successfully with the overlapping scheme. Then the condensation problem in 1D infinite shock tube was investigated using the scheme. The speedup of the condensation problem with the overlapping schemes

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Two-Way Coupled Sprays and Liquid Surface: A GPU-Based Multi-Scale Fluid Animation Methods and rich visual details, it is necessary to explore the intrinsic multi-scale property in fluid animation. In this paper, we present a multi-scale fluid animation method on GPU. Our method is designed to animate fluid details of grid and sub-grid scale with high efficiency. In our method, the moti