Sandy Landsberg

DOE / ASCR Interests
& Complex Engineered Networks
Sandy Landsberg
DOE Office of Science
Advanced Scientific Computing Research
September 20, 2012
Applied Mathematics - Landsberg
Steven Chu
Advanced Research Projects
Agency – Energy
Deputy Secretary
Daniel B. Poneman
Under Secretary for Nuclear
Security/Administrator for
National Nuclear Security
Thomas P. D’Agostino
Under Secretary
for Science
Under Secretary
Office of Science
Defense Nuclear
William Brinkman
Patricia Dehmer
Energy Efficiency &
Renewable Energy
David Danielson
Defense Programs
Basic Energy Sciences
High Energy Physics
Naval Reactors
Harriet Kung
James Siegrist
Advanced Scientific
Computing Research
Daniel Hitchcock
Nuclear Physics
Biological & Environmental
Sharlene Weatherwax
Fusion Energy Sciences
Workforce Develop. for
Teachers & Scientists
Bill Valdez
Defense Nuclear
Manny Oliver
Tim Hallman
Ed Synakowski
Fossil Energy
Charles McConnell
Nuclear Energy
Pete Lyons
Electricity Delivery
& Energy Reliability
Pat Hoffman
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.
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, highcapacity 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
– Co-Design- close coupling of applications, computer science, and computer
hardware architecture that are required for success at exascale.
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 extremescale mathematical challenges
High-risk, high-payoff: new mechanism to bring in highly innovative research
Applied Mathematics - Landsberg
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
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
• Have impact to the DOE mission in the 5-10+ year timeframe
DOE Applied Mathematics References
DOE Applied Mathematics Summit (March 2012):
ASCAC Presentations (March 2012):
• “A New Paradigm for DOE Applied Mathematics”
• “Extreme-Scale Solvers Workshop”
Applied Mathematics Workshops:
• “Mathematics for the Analysis, Simulation, and Optimization of Complex Systems” (9/13-9/14/2011):
• “Extreme-Scale Solvers” (3/8-3/9/2012):
Workshop Reports :
• “A Multifaceted Mathematical Approach for Complex Systems”
• “Report on the Workshop on Extreme-Scale Solvers: Transition to Future Architectures”
Applied Mathematics - Landsberg
Applied Mathematics - Landsberg