Optimal Uncertainty Quantification

M. Ortiz, M. McKerns, H. Owhadi, T. J. Sullivan, C. Scovel
in Advanced Computational Engineering, 12-18, February 2012. Olberwolfach Reports, 9(1), 2012.

Optimal uncertainty quantification

H. Owhadi, T.J. Sullivan, M. McKerns, M. Ortiz, C. Scovel
SIAM Review (accepted 2012).

Uncertainty quantification for legacy data observations of Lipschitz functions

T. J. Sullivan, M. McKerns, D. Meyer, F. Theil, H. Owhadi, M. Ortiz,
Mathematical Modeling and Numerical Analysis (submitted 2012).

What is UQ?

C. Scovel, H. Owhadi, T. Sullivan, M. McKerns, M. Ortiz. Los Alamos National Laboratory Associate Directorate for Theory, Simulation, and Computation (ADTSC) Science Highlights LA-UR 12-20429 (2012).

The shortest period detached white dwarf + main-sequence binary

Parsons, S. G.; Marsh, T. R.; Gansicke, B. T.; Dhillon, V. S.; Copperwheat, C. M.; Littlefair, S. P.; Pyrzas, S.; Drake, A. J.; Koester, D.; Schreiber, M. R.; Rebassa-Mansergas, A. 2012, MNRAS, 419, 304 MNRAS 2012, 419, 304
http://mnras.oxfordjournals.org/content/419/1/304

SN 2008jb: A “Lost” Core-Collapse Supernova in a Star-Forming Dwarf Galaxy at ~10 Mpc

Prieto, Jose L.; Lee, J. C.; Drake, A. J.; McNaught, R.; Garradd, G.; Beacom, J. F.; Beshore, E.; Catelan, M.; Djorgovski, S. G.; Pojmanski, G.; K. Z. Stanek and D. M. Szczygiel, 2012, ApJ, 745, 70
http://iopscience.iop.org/0004-637X/745/1/70

Rigorous model-based uncertainty quantification with application to terminal ballistics. Part II: Systems with uncontrollable inputs and large scatter

M. Adams, A. Lashgari, B. Li, M. McKerns, J. Mihaly, M. Ortiz, H. Owhadi, A.J. Rosakis, M. Stalzer, and T.J. Sullivan

Journal of the Mechanics and Physics of Solids, 60(5):1002-1019, 2012. DOI 10.1016/j.jmps.2011.12.00

Rigorous model-based uncertainty quantification with application to terminal ballistics. Part I: Systems with controllable inputs and small scatter

A.A. Kidane, A. Lashgari, B. Li, M. McKerns, M. Ortiz, H. Owhadi, G. Ravichandran, M. Stalzer, and T.J. Sullivan

Journal of the Mechanics and Physics of Solids, 60(5):983-1001, 2012. DOI 10.1016/j.jmps.2011.12.001.

Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

• CMS Collaboration (including J. Bunn, CACR/Caltech)

• Physics Letters B
  Volume 716, Issue 1, 17 September 2012, Pages 30–61
  Physics Letters B. Volume 716, Issue 1, 17 September 2012, Pages 30–61
  (link)

FlashBlades: System Architecture and Applications

talk given at Architectures and Systems for Big Data (ASBD) 2012, Portland, Oregon.
Mark Stalzer

Presented is a speculative server blade architecture called a FlashBlade that combines 100x I/O performance in both latency and bandwidth with balanced computing. The blade consists of a standard multi-core CPU with attached DRAM. It uses a fast interconnect, such as Intel’s QuickPath, to communicate with a FPGA router called the X1. This router handles traffic to the “C1 complexes” and off-blade. Each C1 complex is a System on a Chip with Package on Package DRAM, connected to local flash memory. There are numerous complexes, giving tremendous I/O performance and computational balance. A large design space of parameters such as flash size, number of complexes, and link bandwidth between each C1 and the X1 is available for power and performance optimization. A single blade server constructed from these blades, just 12.25 inches high and drawing about 10 KW, could support a few hundred thousand basic web searches a second on 1 billion pages. It could also provide triple store performance 100x greater than achievable now for datasets of 6 TB and scales to petabyte datasets although at somewhat reduced performance; with numerous applications to defense, commerce, and science.

(PDF)