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High-End Computing Program

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2010 American Geophysical Union (AGU) Fall Meeting

NASA Booth - High-End Computing Program Presentations

Tuesday, December 14, 2010

Performance of Science Codes on Modern High-Performance Computing (HPC) Systems
Piyush Mehrotra
Lead, Application Performance and Productivity Group, NASA Advanced Supercomputing (NAS) Division, NASA Ames Research Center
Modern high-performance computing (HPC) systems present a challenging environment to scientists attempting to effectively utilize such systems for their parallel applications. The complexities of the underlying resources, such as the complex memory hierarchies of multi-core based HPC systems, have subtle but signification implications on the performance of the applications. In this talk, we present the performance of science codes on HPC systems supported by NASA's High-End Computing Capabilities Project including those based on Intel's Xeon Harpertown, Nehalem, and Westmere processors. We explore various performance-related issues such as the effect of resource sharing in multi-core systems, and the utility of Hyper-Threading and hybrid programming on such systems.

Large Data and Concurrent Scientific Visualization
Patrick Moran
Computer Scientist, Visualization Group, NASA Advanced Supercomputing (NAS) Division, NASA Ames Research Center
NASA's In-Space Propulsion Technology project is investing in advanced propulsion technologies to enhance or enable new science missions. These investments include advanced chemical propulsion, electric propulsion, and aerocapture technologies. The investments and application of the technologies is described. Also, potential mission concepts enabled by the new technologies are presented. Last, tools that can be used by the science and mission planning community for independent analyses and assessment of the advanced propulsion capabilities are described.

Thursday, December 16, 2010

NASA's Climate in a Box
Gary Wojcik
Program Manager for the Software Integration and Visualization Office (SIVO) Contractors, Northrop Grumman Corporation, Information Systems
NASA's High-End Computing Program, in cooperation with its Modeling, Analysis, and Prediction Program, has developed a modeling toolkit that makes its climate and Earth science models more accessible to a larger community. This project is called Climate in a Box (CIB). Current obstacles to using NASA and NOAA models include model complexity, poor documentation, and limited access to high-performance computing (HPC) resources. CIB explores the utility of "desktop supercomputers" in providing a complete pre-packaged, ready-to-use toolkit of climate research products to investigators and on-demand access to an HPC system. The first toolkit version is now available, and current efforts are focused on developing a system architecture that will allow for automatic code updates for each user, effective communication between users, and an effective means of dealing with generated data.

NASA Center for Climate Simulation: Data Supporting Science
Phil Webster
Chief, Computational and Information Sciences and Technology Office, NASA Goddard Space Flight Center
The NASA Center for Climate Simulation (NCCS) offers integrated supercomputing, visualization, and data interaction technologies to enhance agency capabilities in weather and climate prediction. Its centerpiece is the Discover supercomputer, which recently doubled in capability to nearly 30,000 processors and 320 teraflops peak performance. NCCS also supports users with a massive data archive, a new data management system, expanded data analysis and visualization capabilities featuring a 17- by 6-foot hyperwall, and services for distributing simulation data. Science highlights include (1) global simulations with resolutions as fine as 3.5 kilometers producing cloud and hurricane features at groundbreaking fidelity, (2) a comprehensive 30-year reanalysis assimilating over 50 billion observations, and (3) climate change projections for the Intergovernmental Panel on Climate Change simulating the years 1000 to 2100.

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