Supercomputer requirements for selected disciplines important to aerospace

Peterson, V. L.; Kim, J.; Holst, Terry L.; Deiwert, George S.; Cooper, D.M.; Watson, Andrew B.; Bailey, F. R.

doi:10.1109/5.30754

Cited by 15 publications

(11 citation statements)

References 11 publications

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“…Results of a long baseline study ofν e oscillations at the Palo Verde Nuclear Generating Station are reported here. The work was motivated by the observation of an anomalous atmospheric neutrino ratio ν µ /ν e reported in several independent experiments [1][2][3] that can be interpreted as ν µ -ν e oscillations requiring large mixing. The mass parameter suggested by this anomaly is in the range of 10 −2 < ∆m 2 < 10 −3 eV 2 for two flavor neutrino oscillations.…”

Section: Introductionmentioning

confidence: 99%

Results from the Palo Verde neutrino oscillation experiment

et al. 2000

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The e flux and spectrum have been measured at a distance of about 800 m from the reactors of the Palo Verde Nuclear Generating Station using a segmented Gd-loaded liquid scintillator detector. Correlated positron-neutron events from the reaction e p→e ϩ n were recorded for a period of 200 d including 55 d with one of the three reactors off for refueling. Backgrounds were accounted for by making use of the reactor-on and reactor-off cycles, and also with a novel technique based on the difference between signal and background under reversal of the e ϩ and n portions of the events. A detailed description of the detector calibration, background subtraction, and data analysis is presented here. Results from the experiment show no evidence for neutrino oscillations. e → x oscillations were excluded at 90% C.L. for ⌬m 2 Ͼ1.12ϫ10 Ϫ3 eV 2 for full mixing and sin 2 2Ͼ0.21 for large ⌬m 2 . These results support the conclusion that the observed atmospheric neutrino oscillations do not involve e .

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Section: Introductionmentioning

confidence: 99%

Results from the Palo Verde neutrino oscillation experiment

et al. 2000

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“…DNS will find increasing use in the study of new concepts for turbulent flow control, and in the study of compressible turbulent flows, especially very low density transitional flows at very high Much numbers. Peterson et al (1989) have projected the impact of advances in computers on DNS for turbulence physics (Fig. 1).…”

Section: Outlook and Limitations Of Direct Simulationsmentioning

confidence: 99%

“…Work in the U.S. has concentrated on fundamentals; the U.S. appears to be spending much less effort than Europe on the development of practical LES. Peterson et al (1989) have projected the impact of advances in computers on LES for aerothermodynamics (Figs. 1).…”

Section: Achievements Of Large Eddy Simulationsmentioning

confidence: 99%

The potential and limitations of direct and large eddy simulations

Reynolds

Lecture Notes in Physics

148

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Experiments, Theories, Models, and SimulationsExperiments, two-point theoretical closures, one-point turbulence models, and numerical simulations of turbulence all have important roles to play in advancing the field of turbulence. The information they provide is complementary, and none will replace any other. However, the evolution of simulations as a viable tool for turbulence research and prediction has changed the way in which the other tools are used.Experiments can do many things much faster than simulations and can cover ranges not attainable by simulations. Theoretical closures provide a framework for study of simple flows at high Reynolds numbers. Turbulence models are the most important tool for highly repetitive engineering analysis in moderately-demanding flows. Simulations give data that can be obtained in no other way, but only for limited conditions. Because of their general validity, simulations are going to become the primary tool for prediction of complex turbulent flows not amenable to prediction by simple turbulence models.The purpos e of this paper is to outline the general approach of direct numerical simulations and large-eddy simtflations of turbulent flows, discuss the advantages and problems of these methods, survey some of their important achievements, and forecast their future use and importance. For other recent reviews see Rogallo and Moin (1984) and Schumann and Friedrich (1987). For a recent review of CFD in general see Boris (1989). 2

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“…The curve in Figure 4 illustrates a staircase function that approximates a commonly occurring situation in industry, or in national labs (see, for example, Peterson et al, 1989): the highest utility is associated with "near-interactive time" computations, i.e. a computation that takes less than a coffee break so that it can be part of an uninterrupted engineering development cycle.…”

Section: Utilitymentioning

confidence: 99%

A Framework for Measuring Supercomputer Productivity

Snir

Bader

2004

The International Journal of High Performance Computing Applica

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We propose a framework for measuring the productivity of high performance computing (HPC) systems, based on common economic definitions of productivity and on utility theory. We discuss how these definitions can capture essential aspects of HPC systems, such as the importance of time-to-solution and the trade-off between programming time and execution time. Finally, we outline a research program that would lead to the definition of effective productivity metrics for HPC that fit within the proposed framework.

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Supercomputer requirements for selected disciplines important to aerospace

Cited by 15 publications

References 11 publications

Results from the Palo Verde neutrino oscillation experiment

Results from the Palo Verde neutrino oscillation experiment

The potential and limitations of direct and large eddy simulations

A Framework for Measuring Supercomputer Productivity

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