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Exploring fundamental properties of numerical science to improve resilience of extreme-scale executions

The PARIS project is exploring fundamental properties of numerical science applications to improve the resilience of extreme-scale executions and provide solutions to system failure and silent data corruptions.

The results are being tested in DOE applications, such as cosmology (with the Argonne High Energy Physics Division), reactor simulation (with the Nuclear Engineering Division), and climate science (with the MCS Division).