The Beholder system is a software client / server system that detects intrusion by monitoring the real-world execution time of critical kernel-level operations. Beholder was designed for use with critical infrastructure systems, especially in the power grid.
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Hyperion is a software system for static analysis of compiled software, enabling the detection of undesirable behavior or the demonstration of correct behavior.
PISCEES is a SciDAC Earth System Modeling project with the following goals: (1) To develop and apply robust, accurate, and scalable dynamical cores for ice sheet modeling on structured and unstructured meshes with adaptive refinement, (2) To evaluate ice sheet models using new tools and data sets for verification and validation (V&V) and uncertainty quantification (UQ), (3) to integrate these models and tools into DOE's Accelerated Climate Model for Energy (ACME). Using improved estimates of ice sheet initial conditions, we will simulate decade-to-century-scale evolution of the Greenland and Antarctic ice sheets, running PISCEES ice sheet models both in standalone mode and coupled to ACME. We aim to provide useful, credible predictions, including uncertainty ranges, of future ice-sheet mass loss and resulting changes in climate and sea level.
PISCEES is jointly funded by the Office of Biological and Environmental Research (BER) and the Office of Advanced Scientific Computing Research (ASCR) of the DOE Office of Science.
Principle Investigator: Steve Price - LANL and Esmond Ng – LBNL, Kate Evans - ORNL site PI
PISCEES is jointly funded by the Office of Biological and Environmental Research (BER) and the Office of Advanced Scientific Computing Research (ASCR) of the DOE Office of Science.
Principle Investigator: Steve Price - LANL and Esmond Ng – LBNL, Kate Evans - ORNL site PI
The Accelerated Climate Modeling for Energy (ACME) project is a newly launched project sponsored by the Earth System Modeling (ESM) program within U.S. Department of Energy's (DOE’s) Office of Biological and Environmental Research. ACME is an unprecedented collaboration among eight national laboratories and six partner institutions to develop and apply the most complete, leading-edge climate and Earth system models to challenging and demanding climate-change research imperatives. It is the only major national modeling project designed to address DOE mission needs to efficiently utilize DOE leadership computing resources now and in the future. While the project capabilities will address the critical science questions, its modeling system and related capabilities also can be flexibly applied by the DOE research community to address mission-specific climate change applications from U.S. Energy Sector Vulnerabilities to Climate Change and Extreme Weather.
The Verification, Validation and Uncertainty Quantification (VVUQ) for machine learning project identified processes and techniques to conduct VVUQ on machine learning applications.