1 / 9

DOE / ASCR Interests & Complex Engineered Networks

DOE / ASCR Interests & Complex Engineered Networks. Sandy Landsberg DOE Office of Science Advanced Scientific Computing Research September 20, 2012. Secretary Steven Chu Deputy Secretary Daniel B. Poneman.

marvin
Download Presentation

DOE / ASCR Interests & Complex Engineered Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. DOE / ASCR Interests & Complex Engineered Networks Sandy Landsberg DOE Office of Science Advanced Scientific Computing Research September 20, 2012 Applied Mathematics - Landsberg

  2. Secretary Steven Chu Deputy Secretary Daniel B. Poneman Under Secretary for Nuclear Security/Administrator for National Nuclear Security Administration Thomas P. D’Agostino Under Secretary for Science Vacant Under Secretary Vacant Office of Science William Brinkman Patricia Dehmer Defense Nuclear Nonproliferation Advanced Research Projects Agency – Energy Vacant Energy Efficiency & Renewable Energy David Danielson Naval Reactors Basic Energy Sciences Harriet Kung High Energy Physics James Siegrist Fossil Energy Charles McConnell Counter-terrorism Advanced Scientific Computing Research Daniel Hitchcock Nuclear Physics Tim Hallman Nuclear Energy Pete Lyons Defense Nuclear Security Emergency Operations Biological & Environmental Research Sharlene Weatherwax Fusion Energy Sciences Ed Synakowski Electricity Delivery & Energy Reliability Pat Hoffman Defense Programs SBIR/STTR Manny Oliver Workforce Develop. for Teachers & Scientists Bill Valdez

  3. ASCR at a Glance ASCR Mission: Discover, develop, and deploy the computational and networking capabilities that enable researchers to analyze, model, simulate, and predict complex phenomena important to the Department of Energy.

  4. ASCR Research Programs • Applied Mathematics- basic research in models, methods, and algorithms for understanding complex natural and engineered systems related to DOE’s mission • Computer Science- basic research in utilization of computing at extreme scales; understanding extreme scale data from both simulations and experiments • Next-Generation Networking for Science- focuses on end-to-end of high-performance, high-capacity and middleware network technologies necessary to provide secure access to distributed science facilities, high-performance computing recourses and large-scale scientific collaborations. This program builds on results from applied mathematics and computer science to develop integrated software tools and advanced network services. • Computational Partnerships- • SciDAC Institutes- methods, algorithms, libraries & methodologies for achieving portability and interoperability of complex scientific software packages; software tools and support for application performance; tools for data analytics, and visualization spanning the full range of SciDAC applications • Scientific Application Partnerships (SAPs)- enable computational scientists to effectively and confidently utilize multi-petaflop computing systems to advance science. • Co-Design- close coupling of applications, computer science, and computer hardware architecture that are required for success at exascale.

  5. DOE Applied Mathematics Support the research and development of applied mathematical models, methods and algorithms for understanding natural and engineered systems related to DOE’s mission. Long-term goals: • Mathematics research that 5-10+ years out will impact DOE mission efforts: DOE Applications, SciDAC Partnerships, and Exascale Co-Design • New Mathematical Multifaceted Integrated Capability Centers (MMICCs) directly enhances impact of applied math on DOE mission • Cross-cutting mathematics projects: addresses foundational, algorithmic and extreme-scale mathematical challenges • High-risk, high-payoff: new mechanism to bring in highly innovative research Applied Mathematics - Landsberg

  6. Mathematical Multifaceted Integrated Capability Centers (MMICCs) • Background • 2005 Multiscale Mathematics solicitation • 15 projects awarded under Multiscale Mathematics and Optimization of Complex Systems (ending 8/2012) • 7 projects awarded under Mathematics for Complex Distributed Interconnected Systems (ending 8/2012) • 7 projects awarded under ARRA Multiscale Mathematics and Optimization of Complex Systems (ending 8/2012) • Workshop: Sept 13-15, 2011; Workshop report, “A Multifaceted Mathematical Approach for Complex Systems” March 2012. • Applied Math Summit 3/7/2012. • New Paradigm • Holistically address mathematics for increasingly complex DOE-relevant systems for scientific discovery, design, optimization and risk assessment. • Broader view of the problem as a whole, and devise solution strategies that attack the problem in “its entirety” by building fundamental, multidisciplinary mathematical capabilities • Enable applied mathematics researchers to work together in large, collaborative teams to more effectively address science problems earlier in the problem solving process. Applied Mathematics - Landsberg

  7. Mathematical Multifaceted Integrated Capability Centers (MMICCs) Proposals for a Mathematical Multifaceted Integrated Capability Center must: • Address the long-term mathematical challenges for one or more DOE grand challenges and that require new integrated, iterative processes across multiple mathematical disciplines. • Identify a set of interrelated mathematics research challenges that represent abstractions of the grand challenges. These abstractions would then be optimally addressed through a multifaceted, integrated approach. • Advance multifaceted, integrated mathematics that spans, as appropriate, novel formulations, discretizations, algorithm development, data analysis techniques, uncertainty quantification methodologies, optimization techniques, and other mathematical approaches; • Have impact to the DOE mission in the 5-10+ year timeframe

  8. DOE Applied Mathematics References DOE Applied Mathematics Summit (March 2012): http://science.energy.gov/ascr/news-and-resources/workshops-and-conferences/doe-applied-math-summit/ ASCAC Presentations (March 2012): • “A New Paradigm for DOE Applied Mathematics” http://science.energy.gov/~/media/ascr/ascac/pdf/meetings/Mar12/LandsbergASCAC03272012.pdf • “Extreme-Scale Solvers Workshop” http://science.energy.gov/~/media/ascr/ascac/pdf/meetings/Mar12/xsolvers-ASCAC-brief_v3.pdf  Applied Mathematics Workshops: • “Mathematics for the Analysis, Simulation, and Optimization of Complex Systems” (9/13-9/14/2011): http://www.orau.gov/mathworkshop2011/ • “Extreme-Scale Solvers” (3/8-3/9/2012): http://www.orau.gov/extremesolvers2012/ Workshop Reports : • “A Multifaceted Mathematical Approach for Complex Systems” http://science.energy.gov/~/media/ascr/pdf/program-documents/docs/Multifaceted_Mathematical_Approach_for_Complex_Systems.pdf • “Report on the Workshop on Extreme-Scale Solvers: Transition to Future Architectures” http://science.energy.gov/~/media/ascr/pdf/program-documents/docs/reportExtremeScaleSolvers2012.pdf Applied Mathematics - Landsberg

  9. Questions? Sandy.Landsberg@science.doe.gov Applied Mathematics - Landsberg

More Related