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Title: Development of mpi_EPIC model for global agroecosystem modeling

Models that address policy-maker concerns about multi-scale effects of food and bioenergy production systems are computationally demanding. We integrated the message passing interface algorithm into the process-based EPIC model to accelerate computation of ecosystem effects. Simulation performance was further enhanced by applying the Vampir framework. When this enhanced mpi_EPIC model was tested, total execution time for a global 30-year simulation of a switchgrass cropping system was shortened to less than 0.5 hours on a supercomputer. The results illustrate that mpi_EPIC using parallel design can balance simulation workloads and facilitate large-scale, high-resolution analysis of agricultural production systems, management alternatives and environmental effects.
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  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. The Dresden Univ. of Technology, Dresden (Germany)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
OSTI Identifier:
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Computers and Electronics in Agriculture
Additional Journal Information:
Journal Volume: 111; Journal ID: ISSN 0168-1699
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Org:
USDOE Laboratory Directed Research and Development (LDRD) Program
Country of Publication:
United States
97 MATHEMATICS AND COMPUTING; 54 ENVIRONMENTAL SCIENCES; load balance; parallel design; MPI; food; bioenergy; sustainability; high performance computing (HPC); message passing interface