Task Automation

Successful investigations of various properties of Earth materials will result from hundreds or thousands of independent calculations on physically distributed parallel platforms. These calculations are often divided into sets, each set perhaps depending on the successful completion of the previous one. Manual submission and monitoring of theses numerous runs and pre- and post-run analysis present a major bottleneck in high-end computational materials research. For example, the elasticity calculation of MgSiO3-perovskite consumed in 2001/02 ~7 person-months of job submissions and monitoring on a single IBM SP-2. Numerous other similarly important calculations are necessary for proper interpretation of seismic data and they should not be impaired by human availability. Besides, researchers should be freed for other more complex decision making tasks. A task automation system to enable submission of a multitude of runs is indispensable. Besides, some simulations execute for days/weeks. Steering mechanisms, such as pV3 and SCIRun are necessary to monitor the state of runs while they are ongoing, and possibly change parameters without restarting them.

We will develop an automated system to compute full elastic constant tensors of Earth materials versus pressure and temperature. It will handle several independent calculations of strained configurations with accompanying phonon dispersions in each case. An orthorhombic crystal requires at least 16 strains with the average number of ~6 wave-numbers per strain for ~10 different pressures. Our task automation system must handle ~1,000 independent calculations. Based on our gained experience, we will automate the study of solid solutions as well. The number of calculations necessary to parameterize the free energy approximated with the cluster expansion method involves the systematic generation of numerous ordered configurations determined by the crystal symmetry and alloy composition. Configuration generation, job preparation, submission, and monitoring must be automated for these calculations to become viable. Virtually all Earth materials are solid solutions and most have more than two-component. (Karki, Pierce, de Gironcoli)



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