The RAGE radiation-hydrodynamic code

Gittings, M. L.; Weaver, Robert P.; Clover, M. R.; Betlach, Thomas; Byrne, N.; Coker, R. F.; Dendy, E. D.; Hueckstaedt, R. M.; New, Kim; Oakes, W.R.; Ranta, Dale; Stefan, Ryan

doi:10.1088/1749-4699/1/1/015005

Cited by 396 publications

(220 citation statements)

References 79 publications

(137 reference statements)

Supporting

Mentioning

218

Contrasting

Order By: Relevance

“…We evolve the shock through the outer layers of the star, its surface, and then out into the surrounding medium with the radiation hydrodynamics code RAGE (Gittings et al 2008). RAGE (Radiation Adaptive Grid Eulerian) is an AMR radiation hydrodynamics code that combines a second-order conservative Godunov hydro scheme with gray or multigroup flux-limited diffusion to model strongly radiating flows in 1D, 2D, or 3D.…”

Section: Ragementioning

confidence: 99%

Finding the First Cosmic Explosions. Ii. Core-Collapse Supernovae

Whalen

Joggerst

Fryer

et al. 2013

ApJ

View full text Add to dashboard Cite

Understanding the properties of Population III (Pop III) stars is prerequisite to elucidating the nature of primeval galaxies, the chemical enrichment and reionization of the early intergalactic medium, and the origin of supermassive black holes. While the primordial initial mass function (IMF) remains unknown, recent evidence from numerical simulations and stellar archaeology suggests that some Pop III stars may have had lower masses than previously thought, 15-50 M in addition to 50-500 M . The detection of Pop III supernovae (SNe) by JWST, WFIRST, or the TMT could directly probe the primordial IMF for the first time. We present numerical simulations of 15-40 M Pop III core-collapse SNe performed with the Los Alamos radiation hydrodynamics code RAGE. We find that they will be visible in the earliest galaxies out to z ∼ 10-15, tracing their star formation rates and in some cases revealing their positions on the sky. Since the central engines of Pop III and solar-metallicity core-collapse SNe are quite similar, future detection of any Type II SNe by next-generation NIR instruments will in general be limited to this epoch.

show abstract

Section: Ragementioning

confidence: 99%

Finding the First Cosmic Explosions. Ii. Core-Collapse Supernovae

Whalen

Joggerst

Fryer

et al. 2013

ApJ

View full text Add to dashboard Cite

show abstract

“…In order to investigate the preheat effect in more detail, we performed hydrodynamic simulations of the system using the 2D RAGE [41] code. The simulations were set up using a 20 µm-thick layer, using a SESAME equation of state (EOS) including thermal conductivity for aluminum, with a superposed single-mode sinusoidal perturbation on each side.…”

Section: Computational Resultsmentioning

confidence: 99%

Evolution of surface structure in laser-preheated perturbed materials

et al. 2017

View full text Add to dashboard Cite

We report an experimental and computational study investigating the effects of laser preheat on the hydrodynamic behavior of a material layer. In particular, we find that perturbation of the surface of the layer results in a complex interaction, in which the bulk of the layer develops density, pressure, and temperature structure, and in which the surface experiences instability-like behavior, including mode coupling. A uniform one-temperature preheat model is used to reproduce the experimentallyobserved behavior, and we find that this model can be used to capture the evolution of the layer, while also providing evidence of complexities in the preheat behavior. This result has important consequences for inertially-confined fusion plasmas, which can be difficult to diagnose in detail, as well as for laser hydrodynamics experiments, which generally depend on assumptions about initial conditions in order to interpret their results.

show abstract

“…xNOBEL [37], developed at Los Alamos Laboratory, is a one, two, or three dimensional multimaterial Eulerian hydrodynamics code used for solving a variety of high deformation flow of materials problems. The problem used for this study was the sc301p shape charge problem in two dimensions in a weakly-scaled configuration.…”

Section: Chapter 4 Applicationsmentioning

confidence: 99%

Measuring and tuning energy efficiency on large scale high performance computing platforms.

Laros¹

2011

View full text Add to dashboard Cite

Recognition of the importance of power in the field of High Performance Computing, whether it be as an obstacle, expense or design consideration, has never been greater and more pervasive. While research has been conducted on many related aspects, there is a stark absence of work focused on large scale High Performance Computing. Part of the reason is the lack of measurement capability currently available on small or large platforms. Typically, research is conducted using coarse methods of measurement such as inserting a power meter between the power source and the platform, or fine grained measurements using custom instrumented boards (with obvious limitations in scale). To collect the measurements necessary to analyze real scientific computing applications at large scale, an in-situ measurement capability must exist on a large scale capability class platform.In response to this challenge, we exploit the unique power measurement capabilities of the Cray XT architecture to gain an understanding of power use and the effects of tuning. We apply these capabilities at the operating system level by deterministically halting cores when idle. At the application level, we gain an understanding of the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale (thousands of nodes), while simultaneously collecting current and voltage measurements on the hosting nodes. We examine the effects of both CPU and network bandwidth tuning and demonstrate energy savings opportunities of up to 39% with little or no impact on run-time performance. Capturing scale effects in our 3 experimental results was key. Our results provide strong evidence that next generation large-scale platforms should not only approach CPU frequency scaling differently, but could also benefit from the capability to tune other platform components, such as the network, to achieve energy efficient performance. 5Acknowledgments I would like to acknowledge the following people who have contributed in various ways, all of which significant, to the successful completion of this work: Dr.

show abstract

The RAGE radiation-hydrodynamic code

Cited by 396 publications

References 79 publications

Finding the First Cosmic Explosions. Ii. Core-Collapse Supernovae

Finding the First Cosmic Explosions. Ii. Core-Collapse Supernovae

Evolution of surface structure in laser-preheated perturbed materials

Measuring and tuning energy efficiency on large scale high performance computing platforms.

Contact Info

Product

Resources

About