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Algorithm 679; a set of level 3 basic linear algebra subprograms: model implementation and test programs

J. J. Dongarra, Jermey Du Cruz, Sven Hammerling, I. S. Duff
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

Fabrice Dupros, Florent De Martin, Evelyne Foerster, Dimitri Komatitsch, Jean Roman
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

Martin Isenburg, Yuanxin Liu, Jonathan Shewchuk, Jack Snoeyink
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

Izudin Dzafic, Rabih Jabr, Tarik Hrnjic
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]

Dr.Ian Dobson
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]

Fabrizio Caccavale
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

David R. Fuhrman, Harry B. Bingham
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]

A. Blondel, J. Gluza, S. Jadach, P. Janot, T. Riemann, A. Akhundov, A. Arbuzov, R. Boels, S. Bondarenko, S. Borowka, C.M. Carloni Calame, I. Dubovyk (+24 others)
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

Jeffrey Ede
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

Jeffrey Ede
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

Jeffrey Ede
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

Jeffrey Ede
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

Jeffrey Ede
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

Jeffrey Ede
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]

Jeffrey M. Ede
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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