Performance Evaluation of Multi-Threaded Granular ... - Lammps

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Why add threading optimizations? • Domain decomposition not enough for load-balancing • Shared memory programming gives you more control • With MPI you have to rely on individual implementations (OpenMPI, MPICH2) • More optimization potential with shared memory programming (e.g. cache efficiency) • A hybrid approach would give us the best <strong>of</strong> both worlds. Christian Doppler Laboratory on Particulate Flow Modelling www.particulate-flow.at 4
Starting Point: MiniMD • LIGGGHTS − Based on LAMMPS − ~280,000 LOC − Optimizing this code base is hard • MiniMD-granular − Based on MiniMD, which is a light-weight benchmark <strong>of</strong> LAMMPS − ~3,800 LOC − Makes it much easier to test new ideas and optimize critical parts • What was done in OpenMP: o Pair Styles (pair_gran_hooke) o Neighbor List o Integration o Primitive Walls Christian Doppler Laboratory on Particulate Flow Modelling www.particulate-flow.at 5
Page 1 and 2: Performance Evaluation of Multi-Thr
Page 3: Transfer chute example high particl
Page 7 and 8: Atom decomposition Data Races Data
Page 9 and 10: Boxfill example Christian Doppler L
Page 11 and 12: Load balancing Visualization of the
Page 13 and 14: Load balancing Optimized Access Pat
Page 15 and 16: OpenMP Results (miniMD-granular) Ne
Page 21 and 22: LIGGGHTS Results Testcase 1 - 13k p
Page 23 and 24: Outlook • Currently working on LI

Performance Evaluation of Multi-Threaded Granular ... - Lammps

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