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Conceptual designs of 300-TW and 800-TW pulsed-power accelerators

Stygar, William A.; Fowler, William E.; Gomez, Matthew R.; Harmon, Roger; Herrmann, Mark H.; Huber, Dale L.; Hutsel, Brian T.; Bailey, James E.; Jones, Michael; Jones, Peter; Leckbee, Joshua; Lee, James R.; Lewis, Scot A.; Long, Finis W.; Lopez, Mike R.; Lucero, Diego; Matzen, M.K.; Mazarakis, Michael G.; Mcbride, Ryan; Mckee, G.R.; Nakhleh, Charles; Owen, Albert C.; Rochau, G.A.; Savage, Mark E.; Schwarz, Jens; Sefkow, Adam B.; Sinars, Daniel; Stoltzfus, Brian; Vesey, Roger A.; Wakeland, Peter E.; Cuneo, Michael E.; Flicker, Dawn; Focia, Ronald J.

Abstract not provided.

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TYPE Conference YEAR 2013
OSTI

Toward a New Metric for Ranking High Performance Computing Systems

Heroux, Michael A.

The High Performance Linpack (HPL), or Top 500, benchmark is the most widely recognized and discussed metric for ranking high performance computing systems. However, HPL is increasingly unreliable as a true measure of system performance for a growing collection of important science and engineering applications. In this paper we describe a new high performance conjugate gradient (HPCG) benchmark. HPCG is composed of computations and data access patterns more commonly found in applications. Using HPCG we strive for a better correlation to real scientific application performance and expect to drive computer system design and implementation in directions that will better impact performance improvement.

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TYPE SAND Report YEAR 2013
DOIOSTI

Simulating Solar Power Plant Variability: A Review of Current Methods

Ellis, Abraham; Stein, Joshua

It is important to be able to accurately simulate the variability of solar PV power plants for grid integration studies. We aim to inform integration studies of the ease of implementation and application-specific accuracy of current PV power plant output simulation methods. This report reviews methods for producing simulated high-resolution (sub-hour or even sub-minute) PV power plant output profiles for variability studies and describes their implementation. Two steps are involved in the simulations: estimation of average irradiance over the footprint of a PV plant and conversion of average irradiance to plant power output. Six models are described for simulating plant-average irradiance based on inputs of ground-measured irradiance, satellite-derived irradiance, or proxy plant measurements. The steps for converting plant-average irradiance to plant power output are detailed to understand the contributions to plant variability. A forthcoming report will quantify the accuracy of each method using application-specific validation metrics.

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TYPE SAND Report YEAR 2013
DOIOSTI

Designing Experiments Through Compressed Sensing

Young, Joseph G.; Ridzal, Denis

In the following paper, we discuss how to design an ensemble of experiments through the use of compressed sensing. Specifically, we show how to conduct a small number of physical experiments and then use compressed sensing to reconstruct a larger set of data. In order to accomplish this, we organize our results into four sections. We begin by extending the theory of compressed sensing to a finite product of Hilbert spaces. Then, we show how these results apply to experiment design. Next, we develop an efficient reconstruction algorithm that allows us to reconstruct experimental data projected onto a finite element basis. Finally, we verify our approach with two computational experiments.

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TYPE SAND Report YEAR 2013
DOIOSTI
Results 57701–57800 of 99,299
Results 57701–57800 of 99,299