Supercomputing and Computation


Computer Science

Computer Science at ORNL involves extreme scale scientific simulations through research and engineering efforts advancing the state of the art in algorithms, programming environments, tools, and system software.  ORNL's work is strongly motivated by, and often carried  out in direct collaboration with computational scientists and engineers, and targets the largest parallel computers.

Related Projects

1-3 of 11 Results

HaitiServe Mobile Relief Application
— Relief organizations in Haiti (and other countries) struggle to identify and map available resources to emerging needs. Ineffective and wasteful application of resources following disasters.

RedEye: Text Analysis Workbench
— As computer hard drives get larger, and data is created at increasing rates, the ability for investigators to effectively process the evidence from any single case is drastically impaired.

Ultrascale Predictive Analysis Toolbox
— Supercomputing’s major successes to date have come from discovery through simulation rather than discovery through analysis. Traditional multivariate analysis is not scalable to extremes; high-dimensional data are broken into subsets that ignore system-level context. Can we tractably analyze ultrascale complex-systems data, learning from the system-wide interactions?


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