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Accelerated Spectral Analysis of Compact Operators
SIAM Journal on Numerical Analysis, 1984Let K be a linear compact operator in a Banach space. The eigenvalues and eigenelements of K are to be approximated. Let \(\tilde K\) be an operator of a finite rank such that \(r(\Delta)
Dellwo, David R., Friedman, Morton B.
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Empirical Correlations between the Spectral Input Energy and Spectral Acceleration
Journal of Earthquake Engineering, 2022Correlating different intensity measures (IMs) enables the joint consideration of multiple IMs in various performance-based earthquake engineering applications, such as ground motion selection. The correlations between the spectral input energy and spectral accelerations have not been previously examined.
Yin Cheng +3 more
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OpenACC acceleration of the Nek5000 spectral element code
The International Journal of High Performance Computing Applications, 2015We present a case study of porting NekBone, a skeleton version of the Nek5000 code, to a parallel GPU-accelerated system. Nek5000 is a computational fluid dynamics code based on the spectral element method used for the simulation of incompressible flow.
Stefano Markidis +7 more
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Spatial Correlation of Spectral Acceleration in European Data
Bulletin of the Seismological Society of America, 2012Abstract Quantification of regional seismic risk is based on spatially correlated random fields and requires modeling of the joint distribution of ground‐motion intensity measures at all sites of interest. In particular, when a portfolio of buildings or a transportation/distribution network (lifeline) is of concern, correlation models for elastic ...
Esposito S., IERVOLINO, IUNIO
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Estimate of spectral and pseudo-spectral acceleration proximity
Engineering Structures, 2008Abstract This paper deals with the deterministic relationship between spectral and pseudo-spectral acceleration, S A ( ξ , ω 0 ) and PS A ( ξ , ω 0 ) respectively, and gives the reason for their proximity on theoretical basis.
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Accelerating spectral clustering with partial supervision
Data Mining and Knowledge Discovery, 2010Spectral Clustering is a popular learning paradigm that employs the eigenvectors and eigenvalues of an appropriate input matrix for approximating the clustering objective. Albeit its empirical success in diverse application areas, spectral clustering has been criticized for its inefficiency when dealing with large-size datasets.
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Accelerating the convergence of spectral deferred correction methods
Journal of Computational Physics, 2006This paper is concerned with the numerical solution of stiff initial value problems for ordinary differential equations (ODEs). The proposed approach, called the spectral deferred correction, is a variant of the deferred correction method based on the integral equation formulation instead of the standard differential form, together with a Gaussian ...
Jingfang Huang +2 more
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Spectral Method Characterization on FPGA and GPU Accelerators
2011 International Conference on Reconfigurable Computing and FPGAs, 2011Hybrid core computing, with CPUs augmented with FPGAs and/or GPUs, offers a promising pathway of addressing emerging high-performance computing demands, particularly with respect to performance, power and productivity. This paper compares the sustained performance of a complex, single precision, floating-point, 1D, Fast Fourier Transform (FFT ...
Karl Pereira +3 more
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Accelerating spectral unmixing by using clustered images
2017 IEEE International Conference on Image Processing (ICIP), 2017We propose the usage of a clustering step before the unmixing of hyperspectral images. This circumvents or at least mitigates the drawback of having a large amount of data that has to be processed by taking advantage of the large number of similar pixels and merging similar pixels into clusters. Afterwards, only the cluster centroids have to be unmixed
Bauer, Sebastian +2 more
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Correlation of Spectral Accelerations for Earthquakes in China
Bulletin of the Seismological Society of America, 2017Abstract Conditional mean spectrum (CMS) is increasingly being accepted as a more reasonable target spectrum for selecting earthquake records than uniform hazard spectrum. Construction of CMS requires the determination of correlation coefficients of spectral accelerations. This article presents the first investigation of correlation coefficients based
Kun Ji +3 more
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