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| Andrew Margules |
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| Andrew Margules |
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I am a researcher in the Department of Civil and Environmental Engineering. Our research focuses on the investigation of how various contaminants affect the ground water quality and how we could design remediation systems. An important approach we are using for this type of investigation is modeling contaminant fate and transport in the subsurface on computers. The resources provided by Tufts Cluster Center are very important to us. Our simulations usually take days or even weeks on a single CPU. The clusters can either expedite each simulation if we use simulators that enable parallel computing, or allow us to simulate multiple serial processes simultaneously. The significant improvement in computing efficiency is critical for us to commit work quality to funding sponsors. We expect that our work will improve the cuurent understanding of contamination in the subsurface, provide cutting-edge assessment tools, and stimulate innovative treatment technologies.Eric Miller
Our work concerns the development of tomographic processing methods for environmental remediation problems. Specifically, we are interested in using electrical resistance tomography (ERT) to estimate the geometry of regions of the subsurface contaminated by chemicals such as TCE or PCE. Though the concept of ERT is not unlike the more familiar computed axial tomography (CAT) used for medical imaging, the physics of ERT are a bit more complicated thereby leading to computationally intensive methods for turning data into pictures. Luckily these computational issues are, at a high level, easily parallelizable. Thus, we have turned to Star-P as the tool of choice for the rapid synthesis of our algorithms.
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