466 million particles on 16 GPUs PIConGPU











>> YOUR LINK HERE: ___ http://youtube.com/watch?v=MlNxgmPVF6U

PIConGPU • • This is a relativistic particle-in-cell simulation of laser particle acceleration in an underdense hydrogen plasma. • We use our new tiling memory model to speed up particle in cell simulations on gpus. • • Simulation data: • 4 x 4 GPUs (4xTesla S1070 an 4 nodes) • 1920x6016 cells, cell size 4.16e-8 m x 6.24e-8 m, 2 electron and 22 ion per cell (random position in cell) • one iteration simulates 1.6e-17 s • sliding window (enhanced simulation area) • every 50th iteration dumped as visualization image for this video • 100.001 simulated iterations • • Summary: • particles at start = 233 mill. electron + 233 mill. ion = 466.252.800 makro particles • simulation run 3 h 44 min 28 s = 13468 s (inclusive image duming from 4 nodes to one shared SATA harddisk) • we use a sliding window to enlarge the simulation area therefore we had 254.186.207 electron at the end of simulation • • Legend: • Green = Laser • Red = density of electrons • Blue = kinetic energy of the fastest makro particle in a cell (light blue is more energy) • • More Informations: • http://saahpc.ncsa.illinois.edu/paper...

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