Julian C. Cummings

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A virtual test facility (VTF) for studying the three-dimensional dynamic response of solid materials subject to strong shock and detonation waves has been constructed as part of the research program of the Center for Simulating the Dynamic Response of Materials at the California Institute of Technology. The compressible fluid flow is simulated with a(More)
The Center for Simulating Dynamic Response of Materials at the California Institute of Technology is constructing a virtual shock physics facility for studying the response of various target materials to very strong shocks. The Virtual Test Facility (VTF) is an end-to-end, fully three-dimensional simulation of the detonation of high explosives (HE), shock(More)
We introduce and describe scientific workflows, i.e., executable descriptions of automatable scientific processes such as computational science simulations and data analyses. Scientific workflows are often expressed in terms of tasks and their (dataflow) dependencies. This chapter first provides an overview of the characteristic features of scientific(More)
The DOE leadership facilities were established in 2004 to provide scientist capability computing for high-profile science. Since it’s inception, the systems went from 14 TF to 1.8 PF, an increase of 100 in 5 years, and will increase by another factor of 100 in 5 more years. This growth, along with user policies, which enable scientist to run at, scale for(More)
The Parallel Object-Oriented Methods and Applications (POOMA) Framework, written in ANSI/ISO C++, has demonstrated both great expressiveness and eecient code performance for large-scale scientiic applications on computing platforms ranging from workstations to massively parallel supercomputers. The POOMA Framework provides high-level abstractions for(More)
A Virtual Test Facility (VTF) for studying the three-dimensional dynamic response of solid materials subject to strong shock and detonation waves has been constructed as part of the research program of the Center for Simulating the Dynamic Response of Materials at the California Institute of Technology. The compressible fluid flow is simulated with a(More)
Dynamic adaptive mesh re nement methods for the numerical solution to partial di erential equations yield highly advantageous ratios for cost/accuracy when compared to methods based upon static uniform approximations. Parallel/distributed implementations of these techniques, however, present signi cant challenges in dynamic data-distribution and(More)