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.

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 [...]

An efficient method for computing steady state solutions with Gillespie’s direct method

J. Chem. Phys. 133, 144108 (2010); doi:10.1063/1.3489354 (7 pages)
S. Mauch and M. Stalzer

(Abstract)

A (Hypothetical) Data to Discovery Engine (v2)

Mark Stalzer, Caltech – CACR
Seminar given at “IST Lunch Bunch”
Tuesday November 2, 2010
12:00 PM
105 Annenberg
Abstract:
Moore’s law works for semiconductor-based detectors and there is an increasing flood of data being generated in astronomy, high energy physics, biology, and other sciences. Computation is essential for both (1) making predictions from theory and (2) the analysis of data [...]

A (Hypothetical) Data to Discovery Engine

AstroInformatics 2010
Caltech, June 16-19, 2010
Mark Stalzer
High performance computing systems are typically constructed from easily available parts, just organized differently and scaled to process extreme workloads. The most power efficient petascale machine as of 2010 is Roadrunner at the Los Alamos National Laboratory. Another interesting machine is the Apple iPad which uses very low power System [...]

Applications Architecture Power Puzzle – SC09 Panel

Click names for presentation PDF.
Moderator:

Mark Stalzer, CACR

Panelists:

Thomas Sterling, Louisiana State University
Allan Snavely, San Diego Supercomputer Center
Stephen Poole, Oak Ridge National Laboratory
William Camp, Intel Corporation

Abstract:
Over the next few years there are two boundary conditions that should constrain computer systems architecture: commodity components and applications performance. Yet, these two seem strangely disconnected. Perhaps we need some human [...]

Cluster Expansion for Applied and Computational Mathematics, Final Report

PI Dr. Mark Stalzer
Co-PI Dr. Emmanuel Candes
Co-PI Dr. Oscar Bruno
Co-PI Dr. Thomas Hou
(PDF)

Engineering Computational Science and Engineering

“Engineering Computational Science and Engineering”
Mark A. Stalzer
Executive Director, Center for Advanced Computing Research
California Institute of Technology
Abstract
The purpose of computational science and engineering is to use computers to accelerate scientific discovery and engineering design. This has been a major driver in the development of high performance computing. Yet, something is missing. In this talk I suggest [...]

Efficient Formulations for Exact Stochastic Simulation of Chemical Systems

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 30 April 2009

Sean Mauch and Mark Stalzer
(Abstract PDF) (Link to article)