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Titlebook: High-Performance Modelling and Simulation for Big Data Applications; Selected Results of Joanna Kołodziej,Horacio González-Vélez Book‘‘‘‘‘

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发表于 2025-3-21 16:22:53 | 显示全部楼层 |阅读模式
书目名称High-Performance Modelling and Simulation for Big Data Applications
副标题Selected Results of
编辑Joanna Kołodziej,Horacio González-Vélez
视频videohttp://file.papertrans.cn/427/426675/426675.mp4
概述Final compendium of case studies from the COST Action IC1406.Reference for the fields of HPC, Big Data, and Modelling & Simulation
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: High-Performance Modelling and Simulation for Big Data Applications; Selected Results of  Joanna Kołodziej,Horacio González-Vélez Book‘‘‘‘‘
描述.This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project...Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources...On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains...It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering.
出版日期Book‘‘‘‘‘‘‘‘ 2019
关键词artificial intelligence; big data; big datum; bioinformatics; cloud computing; computer architecture; comp
版次1
doihttps://doi.org/10.1007/978-3-030-16272-6
isbn_softcover978-3-030-16271-9
isbn_ebook978-3-030-16272-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s) 2019
The information of publication is updating

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https://doi.org/10.1007/978-3-030-16272-6artificial intelligence; big data; big datum; bioinformatics; cloud computing; computer architecture; comp
发表于 2025-3-22 06:59:32 | 显示全部楼层
Joanna Kołodziej,Horacio González-VélezFinal compendium of case studies from the COST Action IC1406.Reference for the fields of HPC, Big Data, and Modelling & Simulation
发表于 2025-3-22 10:47:53 | 显示全部楼层
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/h/image/426675.jpg
发表于 2025-3-22 16:10:26 | 显示全部楼层
0302-9743 access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project...Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical m
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Book‘‘‘‘‘‘‘‘ 2019ons (cHiPSet)“ project...Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and a
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Tail Distribution and Extreme Quantile Estimation Using Non-parametric Approaches,calls for tailored estimation methods. In this chapter, we provide a survey of currently used parametric and non-parametric methods, and provide some perspectives on how to move forward with non-parametric kernel-based estimation.
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Parallelization of Hierarchical Matrix Algorithms for Electromagnetic Scattering Problems,is chapter, we describe two classes of algorithms in some detail, we provide a survey of existing solutions, we show results for a proof-of-concept implementation, and we provide various perspectives on different aspects of the problem.
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Big Data Processing, Analysis and Applications in Mobile Cellular Networks,inally linked into the applications ready for operational mode. In this chapter, we provide a broad overview of the entire workflow from raw data access to the final applications and point out the critical challenges in each step that need to be addressed to unlock the value of data generated by mobile cellular networks.
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