Staff from the University of Tennessee's Joint institute for Computational Sciences, National Institute for Computational Sciences, and remote data analysis and visualization center have teamed up with faculty fro...
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The National Institute for Computational Sciences (NICS) at the University of Tennessee currently operates two computational resources for the eXtreme Science and Engineering Discovery Environment (XSEDE), Kraken, a 1...
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There are many challenges in analyzing and visualizing data from current cutting-edge general relativistic astrophysics simulations. Many of the associated tasks are time-consuming with large performance degradation d...
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Efficiently studying Sodium Dodecyl Sulfate (SDS) molecules' formations in the presence of different molar concentrations on high-end GPU clusters whose nodes share accelerators exposes us to several challenges, i...
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Efficiently studying Sodium Dodecyl Sulfate (SDS) molecules' formations in the presence of different molar concentrations on high-end GPU clusters whose nodes share accelerators exposes us to several challenges, including the need to dynamically adapt the job lengths. Neither virtualization nor lightweight OS solutions can easily support generality, portability, and maintainability in concert. Our solution complements rather than rewrites existing workflow and resource managers with a companion module that complements functions of the workflow manager and a wrapper module that extends functions of the resource managers. Results on the Keene land cluster show how, by using our modules, accelerated SDS simulations more efficiently use the cluster's GPUs while leading to relevant scientific observations.
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