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Algorithm 679; a set of level 3 basic linear algebra subprograms: model implementation and test programs
1990
ACM Transactions on Mathematical Software
This paper describes a model implementation and test software for the Level 3 Basic Linear Algebra Subprograms (Level 3 BLAS). ...
The model implementation provides a portable set of Fortran 77 Level 3 BLAS for machines where specialized implementations do not exist or are not required. ...
To copy otherwise, or to republish, requires a fee and/or specific permission. 0 1990 ACM 0098-3500/90/0300-0018 $01.50 Algorithm 679: A Set of Level 3 Basic Linear Algebra Subprograms l 19 block algorithms ...
doi:10.1145/77626.77627
fatcat:jlxh3oyu2jfyvasfz3cmyuqti4
High-performance finite-element simulations of seismic wave propagation in three-dimensional nonlinear inelastic geological media
2010
Parallel Computing
We demonstrate the feasibility of large scale modeling based on an implicit numerical scheme and a nonlinear constitutive model. ...
We analyse the scaling of the parallel algorithms on large-scale configurations and we discuss the physical results. ...
We thank Xavier Lacoste and Mathieu Faverge from INRIA Bordeaux Sud-Ouest, Bacchus project for the support on the solver usage and Faiza Boulahya and Luc Frauciel from BRGM, France for discussions on graph ...
doi:10.1016/j.parco.2009.12.011
fatcat:igti3ri2hjhyfpcsple4lbtejm
Streaming computation of Delaunay triangulations
2006
ACM SIGGRAPH 2006 Papers on - SIGGRAPH '06
Abstract We show how to greatly accelerate algorithms that compute Delaunay triangulations of huge, well-distributed point sets in 2D and 3D by exploiting the natural spatial coherence in a stream of points ...
By extending an incremental algorithm for Delaunay triangulation to use finalization tags and produce streaming mesh output, we compute a billion-triangle terrain representation for the Neuse River system ...
We thank Kevin Yi for supplying the Neuse Basin data and extensive information about his work [Agarwal et al. 2005 ]. ...
doi:10.1145/1179352.1141992
fatcat:ff3dvhwujjc2jgxvpu6r5airqu
Complex Variable Multi-phase Distribution System State Estimation Using Vectorized Code
2020
Journal of Modern Power Systems and Clean Energy
With the advent of advanced energy management systems in distribution systems, there is a growing interest in rapid and reliable code for distribution system state estimation (DSSE) in large-scale systems ...
By using Wirtinger calculus, the method operates entirely in complex variables and employs the latest version of advanced vector extensions (AVX-2) to reap the maximum potential of computer processing ...
Matrix-matrix multiplication is best suited for SIMD optimizationbasic linear algebra subprograms (BLAS) level 3 [9] . ...
doi:10.35833/mpce.2020.000033
fatcat:neotpoa64jeavmjmbal45css3e
Cascading Network Failure in Power Grid Blackouts
[chapter]
2014
Encyclopedia of Systems and Control
The emerging risk analysis, simulation, and modeling of cascading blackouts are briefly surveyed, and key references are suggested. ...
Cascading failure consists of complicated sequences of dependent failures and can cause large blackouts. ...
A common feature of all subsequent developments was the extensive use of robust linear algebra software with the Basic Linear Algebra Subprograms (BLAS) (Lawson et al. 1979) The last development phase ...
doi:10.1007/978-1-4471-5102-9_264-1
fatcat:slhzrvsilfephprfzlkkccbyma
Cooperative Manipulators
[chapter]
2015
Encyclopedia of Systems and Control
The emerging risk analysis, simulation, and modeling of cascading blackouts are briefly surveyed, and key references are suggested. ...
Cascading failure consists of complicated sequences of dependent failures and can cause large blackouts. ...
A common feature of all subsequent developments was the extensive use of robust linear algebra software with the Basic Linear Algebra Subprograms (BLAS) (Lawson et al. 1979) The last development phase ...
doi:10.1007/978-1-4471-5058-9_175
fatcat:gzo7xen4ynezhesyrpsldzj5bi
Numerical solutions of fully non-linear and highly dispersive Boussinesq equations in two horizontal dimensions
2004
International Journal for Numerical Methods in Fluids
Various preconditioning strategies are investigated, including full factorizations of the linearized matrix, ILU factorizations, a matrix-free (Fourier space) method, and an approximate Schur complement ...
A detailed comparison of the methods is given for both rotational and irrotational formulations, and the strengths and limitations of each are discussed. ...
Nick Trefethen and the Numerical Analysis Group at Oxford University for hosting part of this work. In particular Dr. ...
doi:10.1002/fld.628
fatcat:6gmeu2bzfvhnjhwic55ozyiqte
Standard Model Theory for the FCC-ee: The Tera-Z
[article]
2018
arXiv
pre-print
The FCC-ee Tera-Z will deliver the highest integrated luminosities as well as very small systematic errors for a study of the Standard Model (SM) with unprecedented precision. ...
However, the above statement is conditional as the theoretical issues demand a very dedicated and focused investment by the community. ...
This is a trivial consequence of the dimensional recurrences. However, shifting d by one is not trivial.
Acknowledgements The work of T.R. ...
arXiv:1809.01830v2
fatcat:c7gyl3mgozcy5i4plzyxvgwkgi
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This version of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4598227
fatcat:hm2ksetmsvf37adjjefmmbakvq
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This version of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4591029
fatcat:zn2hvfyupvdwlnvsscdgswayci
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4399748
fatcat:63ggmnviczg6vlnqugbnrexsgy
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4415407
fatcat:6dejwzzpmfegnfuktrld6zgpiq
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4413249
fatcat:35qbhenysfhvza2roihx52afuy
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4429792
fatcat:qs6yuapx4vdbdmwna7ix7nnwty
Review: Deep Learning in Electron Microscopy
[article]
2020
arXiv
pre-print
Deep learning is transforming most areas of science and technology, including electron microscopy. This review paper offers a practical perspective aimed at developers with limited familiarity. ...
We then review neural network components, popular architectures, and their optimization. Finally, we discuss future directions of deep learning in electron microscopy. ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a creative commons 4.0 73 license. ...
arXiv:2009.08328v4
fatcat:umocfp5dgvfqzck4ontlflh5ca
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