Toward Parallelization of LIGGGHTS Granulular Force Kernels with OpenMP

  • Richard Berger (Speaker)

Activity: Talk or presentation › Contributed talk › unknown

Description

This paper presents our work to bring state-of-the-art shared-memory programming to granular force kernels in the LIGGGHTS DEM code. A performance benchmark, based on miniMD, was created to simplify the task of testing and measuring performance impact of different parallelizations. Parallelizations which are found to have positive impact are planned to be brought back to the LIGGGHTS code base.
Period05 Aug 2013
Event titleDEM 6 - 6th International Conference on Discrete Element Methods and Related Techniques
Event typeConference
LocationUnited StatesShow on map

Fields of science

  • 211104 Metallurgy
  • 203 Mechanical Engineering
  • 204006 Mechanical process engineering
  • 203024 Thermodynamics
  • 103043 Computational physics
  • 103032 Fluid mechanics
  • 203016 Measurement engineering
  • 204007 Thermal process engineering

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Mechatronics and Information Processing
  • Engineering and Natural Sciences (in general)