Application and High Performant Computation of Fresnel Sections

Rückemann, Claus-Peter

doi:10.1063/1.3637849

Cited by 1 publication

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“…So with the available interfaces the integration of preprocessing with tools from SeismicUnix, even themselves with Parallel Virtual Machine (PVM) support, and interpretation assisting algorithms like Fresnel Section computations [14] has been done. Interactive parameterisation for geophysical data to be processed is most important.…”

Section: Sst(i) = Nrmpos(i) * Meanpos(i) + Nrmneg(i) * Meanneg(i)mentioning

confidence: 99%

Supercomputing resources empowering superstack with interactive and integrated systems

Rückemann¹

2012

AIP Conference Proceedings

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Interactions in metallization systems for integrated circuitsAbstract. This paper presents the results from the development and implementation of Superstack algorithms to be dynamically used with integrated systems and supercomputing resources. Processing of geophysical data, thus named geoprocessing, is an essential part of the analysis of geoscientific data. The theory of Superstack algorithms and the practical application on modern computing architectures was inspired by developments introduced with processing of seismic data on mainframes and within the last years leading to high end scientific computing applications. There are several stacking algorithms known but with low signal to noise ratio in seismic data the use of iterative algorithms like the Superstack can support analysis and interpretation. The new Superstack algorithms are in use with wave theory and optical phenomena on highly performant computing resources for huge data sets as well as for sophisticated application scenarios in geosciences and archaeology.

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Section: Sst(i) = Nrmpos(i) * Meanpos(i) + Nrmneg(i) * Meanneg(i)mentioning

confidence: 99%