A configurable hierarchical architecture for parallel dynamic contingency analysis on gpus

HIGHLIGHTS

  • who: Cong Wang and collaborators from the (UNIVERSITY) have published the research work: A Configurable Hierarchical Architecture for Parallel Dynamic Contingency Analysis on GPUs, in the Journal: (JOURNAL)
  • what: The authors implement MPI to initialize a group of processes and distribute tasks. The testing results indicate the approach has extendable and configurable nature, as mentioned in Section III.
  • how: This paper presents a configurable and hierarchical computing architecture for the first-ever accelerating massive DCAs in parallel on single or multiple GPUs.

SUMMARY

    Many existing parallelization approaches in accelerating . . .

     

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