Development of mpi_EPIC model for global agroecosystem modeling [electronic resource].
- Washington, D.C. : United States. Dept. of Energy, 2014.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
- Physical Description:
- pages 48-54 : digital, PDF file
- Additional Creators:
- Oak Ridge National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
- Restrictions on Access:
- Free-to-read Unrestricted online access
- 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.
- Report Numbers:
- E 1.99:1185384
- Published through SciTech Connect.
Computers and Electronics in Agriculture 111 ISSN 0168-1699 AM
Shujiang Kang; Dali Wang; Jeff A. Nichols; Joseph Schuchart; Keith L. Kline; Yaxing Wei; Daniel M. Ricciuto; Stan D. Wullschleger; Wilfred M. Post; R. Cesar Izaurralde.
- Funding Information:
View MARC record | catkey: 23777721