Development of mpi_EPIC model for global agroecosystem modeling

S. Kang, D. Wang, J. A. Nichols, J. Schuchart, K. L. Kline, Y. Wei, D. M. Ricciuto, S. D. Wullschleger, W. M. Post, R. C. Izaurralde

Research output: Contribution to journalArticle

2 Scopus citations


Agroecosystem models that can incorporate management practices and quantify environmental effects are necessary to assess sustainability-associated food and bioenergy production across spatial scales. However, most agroecosystem models are designed for a plot scale. Tremendous computational capacity on simulations and datasets is needed when large scales of high-resolution spatial simulations are conducted. We used the message passing interface (MPI) parallel technique and developed a master-slave scheme for an agroecosystem model, EPIC on global food and bioenergy studies. Simulation performance was further enhanced by applying the Vampir framework. On a Linux-based supercomputer, Cray XT7 Titan, we used 2048 cores and successfully shortened the running time from days to 30. min for a global 30. years of modeling of a bioenergy crop at the resolution of half-degree (62,482 grids) with the message passing interface based EPIC (mpi_EPIC). The results illustrate that mpi_EPIC using parallel design can balance simulation workloads and facilitate large-scale, high-resolution analyses of agricultural production systems, management alternatives and environmental effects.

Original languageEnglish (US)
Pages (from-to)48-54
Number of pages7
JournalComputers and Electronics in Agriculture
StatePublished - Feb 1 2015
Externally publishedYes


  • Bioenergy
  • Food
  • High performance computing (HPC)
  • Message passing interface (MPI)
  • Parallel design
  • Sustainability

Fingerprint Dive into the research topics of 'Development of mpi_EPIC model for global agroecosystem modeling'. Together they form a unique fingerprint.

  • Cite this

    Kang, S., Wang, D., Nichols, J. A., Schuchart, J., Kline, K. L., Wei, Y., Ricciuto, D. M., Wullschleger, S. D., Post, W. M., & Izaurralde, R. C. (2015). Development of mpi_EPIC model for global agroecosystem modeling. Computers and Electronics in Agriculture, 111, 48-54.