Autogenerating gpu-accelerated LAMMPS pair styles

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Autogenerating gpu-accelerated LAMMPS pair styles

Autogenerating gpu-accelerated LAMMPS pair styles

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Toolset<br />

Version<br />

Flags<br />

g++ 4.4.3 -O2<br />

nvcc 3.2 -arch sm_13<br />

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Dynamics Of Entangled Polymers: Using LAMMPS For Large Scale

LAMMPS on GPUs

LAMMPS for beginners - Sandia National Laboratories

GPU Acceleration in LAMMPS

Peridynamics - Lammps - Sandia National Laboratories

Evaluating Continuum Mechanical Quantities at the ... - Lammps

effects of surface charge density and distribution on the ... - Lammps

Melting point and solid-liquid free energy computation using - Lammps

Entanglements and Mechanical Strength of Polymer Welds - Lammps

Atomic Simulation Guides Nanomechanics Theory - Lammps

Enhancing LAMMPS Capabilities

Pressure regulation and immobilized atoms - Lammps

Teaching with LAMMPS - Sandia National Laboratories

Multiscale modeling of PECVD generated Silicon films ... - Lammps

Applications of GPU package to soft matter simulations - Lammps

Toolset Version Flags g++ 4.4.3 -O2 nvcc 3.2 -arch sm_13 24

Hardware • Intel P4 3.6GHz • 2GB memory • NVidia GeForce GTX 480 (Fermi) • 1.5GB global memory • 15 multiprocessors/120 cores 25

Page 1 and 2: Autogenerating gpuaccelerated LAMMP
Page 3 and 4: vs. writing experiments __global__
Page 5 and 6: Hardware choices • Intel SCCC, MI
Page 7 and 8: Key idea: abstraction • Separate
Page 9 and 10: The NxM problem LJ Hertz Hooke GB L
Page 11 and 12: Step 1. Create parameter file name:
Page 13 and 14: Step 2. Add detail to generated cod
Page 15: Experimental evaluation • Simulat
Page 18 and 19: Runtime costs 18
Page 20 and 21: Future work • Modifying pairgen t
Page 23: Experiment details 23