| Author | : Edoardo Angelo Di Napoli |
| File Size | : 41,7 Mb |
| Publisher | : Frontiers Media SA |
| Language | : English |
| Release Date | : 08 November 2022 |
| ISBN | : 9782832504253 |
| Pages | : 192 pages |
Download or read online High Performance Tensor Computations in Scientific Computing and Data Science written by Edoardo Angelo Di Napoli,Paolo Bientinesi,Jiajia Li,André Uschmajew, published by Frontiers Media SA which was released on 2022-11-08. Get High Performance Tensor Computations in Scientific Computing and Data Science Books now!
Get BookThis book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection
Get BookThe SpringerBrief introduces FasTensor, a powerful parallel data programming model developed for big data applications. This book also provides a user's guide for installing and using FasTensor. FasTensor enables users to easily express many data analysis operations, which may come from neural networks, scientific computing, or queries from traditional database
Get BookThe five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions
Get BookTensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss in classical matrix computation-based data analysis. This book is intended to provide non-specialists an overall understanding of tensor computation and its applications in data analysis, and benefits researchers, engineers, and students with
Get BookDownload or read online Tensor Numerical Methods in Scientific Computing written by Boris Khoromskij, published by Unknown which was released on 2016-09-15. Get Tensor Numerical Methods in Scientific Computing Books now! Available in PDF, ePub and Kindle.
Get BookThis book constitutes the thoroughly refereed post-conference proceedings of the First JARA High-Performance Computing Symposium, JARA-HPC 2016, held in Aachen, Germany, in October 2016. The 21 full papers presented were carefully reviewed and selected from 26 submissions. They cover many diverse topics, such as coupling methods and strategies in Computational Fluid Dynamics (CFD), performance
Get BookThis book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on High Performance Computing for Computational Science, VECPAR 2012, held in Kope, Japan, in July 2012. The 28 papers presented together with 7 invited talks were carefully selected during two rounds of reviewing and revision. The papers are organized in topical
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