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2004 Newsnotes


Sandia Software to Help Design New Commercial Jet

The Boeing Company plans to use the Emu code, developed in SNL Center 9200, to help model structural damage tolerance in the new 7E7 commercial aircraft. This code is based on the peridynamic model of solid mechanics, a Sandia-developed mathematical technique that predicts crack growth with greater ease and generality than previously possible. Under Sandia’s CRADA with Boeing, SNL staff member Stewart Silling (9232) spent the summer of 2004 as a Visiting Scholar at Boeing Phantom Works in the Seattle area. Resulting progress included adaptation of Emu to modeling crack growth in strongly anisotropic composite structures such as the proposed 7E7 wings and fuselage. During a recent review meeting at Boeing, this modeling technology was immediately recognized by 7E7 team management as providing a new capability for design and interpretation of structural tests on the new aircraft, which is making extensive use of composite materials. Applications of the code to the 7E7 program include prediction of the residual strength of composite structures following damage due to impact by runway debris, hail, bird strike, and ground vehicles. The FAA requires aircraft manufacturers to demonstrate the resistance of new aircraft to threats of this type. (Contact: Stewart Silling)
December 6, 2004 LLT meeting


Emu prediction of crack growth in a strongly anisotropic composite panel.
Colors indicate material damage level.


ALEGRA

A multi-disciplinary team of code developers, material modelers, and analysts is working to deploy advanced earth penetration algorithms in the ALEGRA finite element shock physics code. Their efforts are focused on developing predictive modeling capability for penetration through complex, highly variable geologic targets. Three ASC Level III Milestones were completed by the ALEGRA development team at the end of FY04 that result in a much tighter, more consistent coupling between the penetrator and target, leading to more accurate solutions and better performance. These efforts are the basis of application of ALEGRA to simulations defined in an ASC Level II Milestone for FY05.

An ALEGRA development team led by Kevin Brown (formerly 9231) and Mike Wong (9231) implemented an advanced isotropic geologic material model being developed by Arlo Fossum and Rebecca Brannon (both 6117) that accounts for shear strength, damage, jointing, micro-cracking, pore collapse, and rate dependence. Dave Hensinger (9231) has developed and implemented a multi-block structured Eulerian mesh capability in ALEGRA that provides an efficient capability to model large target regions. As these new capabilities have come on-line, Tom Voth (9231) has led an ASC V&V Advanced Deployment project with analysts Luba Kmetyk and Joe Bishop (both 9127) to compare the new penetration capabilities to a variety of experiments, ranging from small laboratory tests of steel penetrators on aluminum targets to large-scale tests on concrete and limestone targets. Simulation of the EQ test on Sandia’s sled track is planned for FY05.

For the FY05ASC Level II Milestone, ALEGRA developers in 9231 and ALEGRA analysts in 9127 will collaborate on simulations designed to demonstrate the capability of ALEGRA's advanced penetration algorithms to simulate the impact and penetration of a large, 5000-lb penetrator into geologic materials, with varying angles of obliquity (normal impact to 20 degrees). The objectives are to demonstrate an ability to (1) predict deceleration histories and mechanical loading experienced by a penetrator body for both normal and oblique impacts; (2) treat surface effects, including fracture, on crater formation and trajectory; and (3) demonstrate the effects of a major rock fault on the penetrator trajectory and loads.

The ALEGRA penetration capabilities demonstrated to date and maturing in FY05 and beyond will give Sandia an increasingly accurate, robust tool for high-fidelity, predictive analyses of the penetration of projectiles into geologic targets of interest for Hard, Deeply Buried Target defeat and other DOE/DoD applications. (Contacts: Kevin Brown and Mike Wong)
November 1, 2004 LLT meeting


Computer & Information Sciences (CIS) Technical Review

The Technical Review of the Computer & Information Sciences (CIS) S&T Council was held on 18-19 August, on site in the RMSEL Auditorium with the out-briefing by the external panel in the IPB on 20 August. In response to Pace Vandevender’s request, the Center 9200 (CCIM) review was expanded this year to include Center 8900’s R&D arm, which with CCIM constitutes the CIS Council.

The review panel was again chaired by Prof. Michael Levine, Director of Pittsburgh Supercomputing Center and Professor of Physics, Carnegie Mellon University. Also on the panel were:
Dr. Evi Dube, Division Leader, DNT & PAT Computing Applications Division, Computing Applications and Research Department, Lawrence Livermore National Laboratory;
Prof. A. B. (Barney) Maccabe, Professor of Computer Science, University of New Mexico; Interim Director, UNM Center for High Performance Computing;
Prof. Marc Snir, Professor and Chair of Computer Science, University of Illinois at Urbana-Champagne;
Prof. Danny Sorensen, Professor of Computational and Applied Mathematics, Rice University;
Prof. Jacob Fish, Professor of Civil, Mechanical, and Aerospace Engineering, Rennselaer Polytechnic Institute.
Dr. Marshall Peterson, J. Craig Venter Science Foundation, was unable to attend due to hurricane Charley.

Agenda Highlights:

  • 3 Sessions – Applications Development; Algorithms and Enabling Technology; (Computer) Systems.
  • Two of 13 scheduled CIS presentations by 8900 staff members.
  • Customer Perspective presentation by Tom Mehlhorn (1674), “High Energy Density Physics”

Outcome Highlights (adapted from Panel’s out-briefing*):

  • Overall the panel was impressed and very positive about the work that was presented, including its mission relevance, technical direction, and awareness and involvement with the R&D community external to Sandia.
  • Red Storm stands to be highly successful and is seen as a critical contribution shaping the future of high performance computing (HPC) in the U.S. In Red Storm, Sandia is providing leadership in HPC. It is to be congratulated for, again, succeeding in creating a production computing system in the face of the vagaries of the supercomputing market and for establishing a close, long-term collaboration with one of the few extant supercomputer vendors. It is critical to preserve and enhance this ability.
  • The panel expressed concern about the potential for pressures towards short term results to adversely impact the ability of CIS, and Sandia as a whole, to attract and retain new, talented technical staff. They urged that attention be given to several pairs of opposing forces: Short-term vs. long-term projects, high-risk vs. low-risk; technology push vs. customer pull. They note that it is vital to CIS and Sandia’s ability to respond properly to unforeseen needs that we give due attention to this issue of ‘refreshing our stock of seed corn.
  • The collaboration between 9200 and 1600 (Pulsed Power Sciences Group), from managers down to individual contributors, impressed the Panel. They view this as another example of the value in vertical integration of effort, from system and software designers to the ultimate customers - a Sandia’s strength. The CIS’s R&D strategic portfolio in applications and algorithm development has strengthened High Energy Density Physics.
  • It is clear that the work of the algorithms and enabling technologies has been incorporated into the applications efforts both within and outside of CIS. This "buy in" to the technology produced by this group is unusual and is a clear indication of success. Based on Mehlhorn’s customer perspective there is need for increased investment in solver technology and adaptivity. To do this and to address the needs of other organizations, there is a need for adding skilled staff (internal or external hires).
  • The panel encouraged CIS leadership in promoting collaborations with Engineering Sciences. Examples this year show that this can be very productive and has potential to influence national practice. (Contact: John B. Aidun)

November 1, 2004 LLT meeting


Article on Quantum DFT Calculations Accepted for Publication by "Modeling and Simulation in Materials Science and Engineering"

A multi-Center team of authors, led by Ann Mattsson (9235), has had a significant review article on quantum density functional theory (DFT) calculations accepted for publication in the peer-reviewed journal “Modeling and Simulation in Materials Science and Engineering.” The charter for this invited article was to provide practical guidance in the use of, and cautionary tales in the misuse of DFT calculations applied to materials science problems. The invitation recognizes Sandia’s growing expertise and leadership in this emerging technology, and brings greater visibility to our growing capabilities in DFT applications and theory at Sandia.

The article by Ann, Peter Schultz (9235), Michael Desjarlais (1674), Thomas Mattsson (1674), and Kevin Leung (1116) is entitled “Designing meaningful density functional theory calculations in materials science – A primer.” Performing DFT calculations that provide useful simulations of physical phenomena and chemistry in materials (as opposed to molecules or clusters of atoms) requires careful assessment of the problem and carefully chosen manipulations of intricate computer codes. Well-constructed DFT calculations can have significant predictive capability. However, blind applications of DFT codes can give meaningless and misleading results. This article addresses issues that confront a user of DFT methods, providing practical guidance to overcoming many of the common challenges in calculation construction, and presents multiple cautionary examples of how poorly designed DFT calculations fail to give accurate predictions of material properties.

At Sandia, as in the wider materials research community, quantifying the chemistry of individual atoms is becoming more critical to predicting the macroscopic response of materials. Consequently, DFT methods are playing an increasingly important role. This extends to their application to stockpile issues such as radiation effects in electronics (e.g. QASPR, ELDRS), equations of state of metals and hydrogen, including the conductivity and opacity of plasmas in the Z machine, and both neutron tube manufacture and aging. DFT is also an enabling capability for nanotechnology. Sandia has developed considerable expertise in DFT theory aimed at improving its accuracy (http://dft.sandia.gov/functionals/), in two complementary, large-scale computational codes, SeqQuest (http://dft.sandia.gov/Quest/) and Socorro (http://dft.sandia.gov/Socorro/), and
in applications in several Centers including 9200, 8700, 6100, 1800, 1600, and 1100. (Contact:
Ann Mattsson)
November 1, 2004 LLT meeting


Using ASCI Red to Address DP Issues

Sandia is using ASCI Red to collect scalability data on several key applications that address a number of high priority Defense Programs issues: MEMS design and fabrication analysis, abnormal facilities environments, neutron generator tube design, simulation capability to enable SPR Retirement, and high energy density physics analysis and design of Z-Pinch experiments. This data and application performance modeling analysis will be used to establish a technical foundation for the 1Q-FY05 ASC Level 1 Milestone to authorize the ASC program to pursue Petaflop scale computing and beyond. ASCI Red appeared in the number 1 position on the Top500 supercomputer list from December 1996 to November 2000, when it was surpassed by ASCI White. But even today, 4 years after giving up the title of "World's Fastest," ASCI Red is still the "World's Largest," not in physical size, but in logical size, based on total number of compute processors. As such, among the Tri-Lab ASC capability systems, ASCI Red remains a unique resource for its ability to collect scalability data, and as a platform for testing and improving the performance of applications on large parallel systems, such as Red Storm, White and Q.
(Contact: Jim Ang)
September 27, 2004 LLT meeting


Petaflops, NASA, Supercomputing, and Red Storm

1. Our proposal to DOE Office of Science for runtime systems software for petaflops computing is reportedly approved for 3-year funding starting FY05. Our collaborators are Caltech and the University of New Mexico. This, along with the continuing funding for scalable systems software, increases DOE Science funding to over $1M per year for systems software.

2. We have been selected by NASA to submit a full proposal for a ground based supercomputing system for design and analysis of ambitious NASA missions.

3. We are hosting a Workshop on the future of supercomputing in October 2004 in Santa Fe. Our continued research into future supercomputing suggests that there will be increasing needs. These include enhancing confidence in the results of our simulations of the nuclear stockpile stewardship, earthquake prediction, and climate modeling. The answers with high confidence may require zettaflops (10**21 floating point operations per second) capability.

4. With the upcoming Red Storm, Sandia has re-joined the Cray User Group, and is hosting its annual conference in May 2005 in Albuquerque. (Contact: Neil Pundit)
September 13, 2004 LLT meeting


New Collaboration with the Stanford Linear Accelerator Center

The Zoltan project is beginning a new collaboration with the Stanford Linear Accelerator Center, funded by the SciDAC program of DOE's Mathematical, Information and Computational Sciences (MICS) office. The collaboration will examine parallel data partitioning methods for specialized geometries and communication-dominated applications. Zoltan is a toolkit of parallel dynamic load balancing and data management services for dynamic, adaptive, and unstructured applications. Zoltan is used in many of Sandia's simulation codes, including SIERRA, ACME, ALEGRA/NEVADA, ChemCell, CHISELS, Xyce, Trilinos, and CTH-AMR. Because of its open-source distribution and web-based release, Zoltan is also used widely in other DOE facilities, universities, and industry. (Contact: Karen Devine)
August 2, 2004 LLT meeting


DAKOTA

DAKOTA Optimization and Uncertainty Quantification Toolkit version 3.2 is being released June 2004 by Department 9211. DAKOTA is an open-source software framework used throughout the Tri-Labs to answer fundamental engineering questions such as "What is the best design?" and "How reliable is it?" DAKOTA closes the design and analysis loop by automatically driving Sandia's high performance computing simulation codes (e.g. Alegra, MPSalsa and Xyce) through ranges of design and uncertain parameters for complex system studies. DAKOTA v3.2 deploys new optimization, sampling, and statistical analysis algorithms we've researched over the last year to optimize and assess the reliability of weapons components, such as the recent W80 NEP pad parameter sensitivity study. DAKOTA has over 1600 registered installations in the broader community, and can also be used for applications such as finding minimum energy states for protein folding problems and least-squares fits for calibrating simulation codes' internal parameters. (Contact: Scott A. Mitchell <http://endo.sandia.gov/DAKOTA/>)

July 12, 2004 LLT meeting



Trilinos Wins R&D 100 Award


Researchers at Sandia National Laboratories received a 2004 R&D 100 award for the development of the Trilinos framework to facilitate the design, development, integration and ongoing support of mathematical software libraries. Every year since 1963, R&D Magazine has showcased the 100 best ideas in industrial and technical innovation through the annual awards program known informally as "the Oscars of Invention." Trilinos is an object-oriented software framework that provides numerical solver functionality for the solution of large-scale, complex multiphysics engineering and scientific applications. Figure 2 (next page) shows the structure of Trilinos, including the major packages and capabilities that are currently available.

Trilinos has been under development at Sandia for the past 4 years, and has had a major impact on Sandia’s modeling and simulation capabilities during the past several years by providing uniform access to accurate, robust and efficient solvers and tools. It also facilitates more rapid development of new libraries by providing important core functionality and software engineering processes for developers. Trilinos unifies a diverse collection of libraries that have been developed at Sandia, as well as tools developed by other researchers. Trilinos has also been the development framework for fundamental algorithmic advances in nonlinear solvers and continuation methods, time integration methods, eigenvalue solvers and multi-level preconditioners. Trilinos was released externally for the first time in September 2003 under an open-source license and has been eagerly adopted by academia, industry and other laboratories. Trilinos 4.0 was released in June 2004. (Contact: Michael A, Heroux)
July 12, 2004 LLT meeting



Figure 1: The 2004 R&D 100 Award identifies Trilinos as one of the 100
most technologically significant
products introduced this year.

 

Figure 2. The Trilinos framework provides access to the wide range of solver capabilities shown above.


Security of Nation's Water Distribution Networks

A cross-disciplinary team of Sandia's computational scientists, geohydrologists, and facilities experts are teaming with the Environmental Protection Agency (EPA) to apply science and technology to improve the security of the Nation's water distribution networks. The EPA recently signed an Inter-Agency Agreement with Sandia for $1.5M. The goal is to develop algorithms to determine the optimal placement of sensors within a municipal water network, and, once these sensors detect a chem/bio attack, algorithms to determine the location and concentration of the attack, and optimal damage mitigation and clean-up strategies. It is also necessary to validate these methods to determine our level of confidence in the results, and determine the overall level of risk any given municipality is subject to. Timothy Oppelt, Director of the EPA National Homeland Security Research Center, wrote "This is an excellent opportunity to leverage the analytical and computational skills at Sandia with EPA's long history in protecting water resources." The Computational Algorithms for Water Homeland Security team effort is part of a larger effort including air security, with additional funding from the Department of Homeland Security (DHS) and other federal agencies.
(Contacts: Scott A. Mitchell, Ray E. Finley)
June 21, 2004 LLT meeting


Spectral Element Atmospheric Model (SEAM)

Sandia is working in collaboration with the National Center for Atmospheric Research on the development of a Spectral Element Atmospheric Model (SEAM). We have recently demonstrated that SEAM has excellent scalability on ASCI Red, running on 8938 CPUs with over 80% parallel efficiency. This is the largest (in terms of processor count) and one of the highest resolution atmospheric model runs to date. We have used the performance of SEAM on ASCI Red to estimate its performance on the 10,000 processors of Red Storm. On Red Storm, we will be able to perform global simulations of the Earth's atmosphere with an average grid spacing of 10km, running at close to 40 times faster than reality. This will be the first time it is possible to obtain 10km global resolution on an MPP supercomputer. (Contact: Jennifer Nelson)
June 7, 2004 LLT meeting

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