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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 developed agroecosystem models are at a plot scale. Tremendous computational need on simulations and datasets is necessary 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 minutes for a global 30 years of