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High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet
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| Personen und Körperschaften: | , |
|---|---|
| Titel: | High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet/ edited by Joanna Kołodziej, Horacio González-Vélez |
| Format: | E-Book |
| Sprache: | Englisch |
| veröffentlicht: |
Cham
Springer
2019
|
| Gesamtaufnahme: |
Theoretical Computer Science and General Issues Springer eBooks |
| Schlagwörter: | |
| Erscheint auch als: | High-Performance modelling and simulation for big data applications, Cham : Springer Open, 2019, xiv, 352 Seiten |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| 520 | |a Why High-Performance Modelling and Simulation for Big Data Applications Matters -- Parallelization of hierarchical matrix algorithms for electromagnetic scattering problems -- Tail Distribution and Extreme Quantile Estimation using Non-Parametric Approaches -- Towards efficient and scalable data-intensive content delivery: State-of-the-art, issues and challenges -- Big Data in 5G Distributed Applications -- Big Data Processing, Analysis and Applications in Mobile Cellular Networks -- Medical Data Processing and Analysis for Remote Health and Activities Monitoring -- Towards human cell simulation -- Cloud-based High Throughput Virtual Screening in Novel Drug Discovery -- Ultra Wide Band Body Area Networks: Design and integration with Computational Clouds -- Survey on AI-based multimodal methods for emotion detection -- Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-oriented Survey of the State-of-the-Art in the Cloud Era | ||
| 520 | |a This open access book is the final compendium of case studies emanated from the 4-year COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet). Funded by the European Commission from 2015, cHiPSet has created a sustainable reference network linking applied research in High Performance Computing (HPC) and Modelling & Simulation to tangibly address Big Data challenges. cHiPSet has enabled research partnerships for dozens of academics and industry practitioners located in 34 COST countries, as well as in Australia, Belarus, Brazil, China, Russia, and the USA. As a cooperation framework, cHiPSet has reached out to new audiences such as ICT professionals, commercial software developers, and the general public. At a time when Big Data has become a common household term, cHiPSet has strived to become a knowledge hub where data-driven HPC meets Modelling & Simulation. cHiPSet has also endeavoured to use and exploit results through Open Science practices, i.e., open access publication, open access to data repositories, and open-source software development. A testament to this philosophy, this compendium is set to become a required reference for the fast-changing fields of HPC, Big Data, and Modelling & Simulation | ||
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| contents | Why High-Performance Modelling and Simulation for Big Data Applications Matters -- Parallelization of hierarchical matrix algorithms for electromagnetic scattering problems -- Tail Distribution and Extreme Quantile Estimation using Non-Parametric Approaches -- Towards efficient and scalable data-intensive content delivery: State-of-the-art, issues and challenges -- Big Data in 5G Distributed Applications -- Big Data Processing, Analysis and Applications in Mobile Cellular Networks -- Medical Data Processing and Analysis for Remote Health and Activities Monitoring -- Towards human cell simulation -- Cloud-based High Throughput Virtual Screening in Novel Drug Discovery -- Ultra Wide Band Body Area Networks: Design and integration with Computational Clouds -- Survey on AI-based multimodal methods for emotion detection -- Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-oriented Survey of the State-of-the-Art in the Cloud Era, This open access book is the final compendium of case studies emanated from the 4-year COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet). Funded by the European Commission from 2015, cHiPSet has created a sustainable reference network linking applied research in High Performance Computing (HPC) and Modelling & Simulation to tangibly address Big Data challenges. cHiPSet has enabled research partnerships for dozens of academics and industry practitioners located in 34 COST countries, as well as in Australia, Belarus, Brazil, China, Russia, and the USA. As a cooperation framework, cHiPSet has reached out to new audiences such as ICT professionals, commercial software developers, and the general public. At a time when Big Data has become a common household term, cHiPSet has strived to become a knowledge hub where data-driven HPC meets Modelling & Simulation. cHiPSet has also endeavoured to use and exploit results through Open Science practices, i.e., open access publication, open access to data repositories, and open-source software development. A testament to this philosophy, this compendium is set to become a required reference for the fast-changing fields of HPC, Big Data, and Modelling & Simulation |
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| spelling | High-Performance Modelling and Simulation for Big Data Applications Selected Results of the COST Action IC1406 cHiPSet edited by Joanna Kołodziej, Horacio González-Vélez, Cham Springer 2019, 1 Online-Ressource (XIV, 352 p. 63 illus., 55 illus. in color), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Theoretical Computer Science and General Issues 11400, Springer eBooks Computer Science, Open Access, Why High-Performance Modelling and Simulation for Big Data Applications Matters -- Parallelization of hierarchical matrix algorithms for electromagnetic scattering problems -- Tail Distribution and Extreme Quantile Estimation using Non-Parametric Approaches -- Towards efficient and scalable data-intensive content delivery: State-of-the-art, issues and challenges -- Big Data in 5G Distributed Applications -- Big Data Processing, Analysis and Applications in Mobile Cellular Networks -- Medical Data Processing and Analysis for Remote Health and Activities Monitoring -- Towards human cell simulation -- Cloud-based High Throughput Virtual Screening in Novel Drug Discovery -- Ultra Wide Band Body Area Networks: Design and integration with Computational Clouds -- Survey on AI-based multimodal methods for emotion detection -- Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-oriented Survey of the State-of-the-Art in the Cloud Era, This open access book is the final compendium of case studies emanated from the 4-year COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet). Funded by the European Commission from 2015, cHiPSet has created a sustainable reference network linking applied research in High Performance Computing (HPC) and Modelling & Simulation to tangibly address Big Data challenges. cHiPSet has enabled research partnerships for dozens of academics and industry practitioners located in 34 COST countries, as well as in Australia, Belarus, Brazil, China, Russia, and the USA. As a cooperation framework, cHiPSet has reached out to new audiences such as ICT professionals, commercial software developers, and the general public. At a time when Big Data has become a common household term, cHiPSet has strived to become a knowledge hub where data-driven HPC meets Modelling & Simulation. cHiPSet has also endeavoured to use and exploit results through Open Science practices, i.e., open access publication, open access to data repositories, and open-source software development. A testament to this philosophy, this compendium is set to become a required reference for the fast-changing fields of HPC, Big Data, and Modelling & Simulation, System Performance and Evaluation, Computer system performance, Computer Communication Networks, Computer science, Computer system failures., Computer communication systems., Electronic digital computers—Evaluation., Logic design, Operating systems (Computers), Microprocessors., Application software., Computer architecture., Computer networks ., Electronic digital computers, Softwareentwicklung, Simulation, Big Data, Kołodziej, Joanna HerausgeberIn edt, González-Vélez, Horacio HerausgeberIn edt, 9783030162719, Erscheint auch als Druck-Ausgabe High-Performance modelling and simulation for big data applications Cham : Springer Open, 2019 xiv, 352 Seiten (DE-627)1698541686 9783030162719, https://doi.org/10.1007/978-3-030-16272-6 X:SPRINGER Resolving-System kostenfrei, https://doi.org/10.1007/978-3-030-16272-6 DE-14, DE-14 epn:3481020090 2019-06-04T17:11:13Z, https://doi.org/10.1007/978-3-030-16272-6 Online-Zugriff DE-15, DE-15 epn:3481020120 2019-06-04T17:11:13Z, https://doi.org/10.1007/978-3-030-16272-6 DE-Ch1, DE-Ch1 epn:3481020171 2019-07-09T14:32:42Z, DE-105 epn:3481377088 2019-06-05T11:14:57Z, DE-Zwi2 epn:3481020198 del:202301280133, https://doi.org/10.1007/978-3-030-16272-6 Zum Online-Dokument DE-Zi4, DE-Zi4 epn:4104250562 2023-07-24T09:45:37Z, DE-L189 epn:3481020201 2019-06-04T17:11:14Z, https://doi.org/10.1007/978-3-030-16272-6 LFER, LFER epn:3498497812 2019-07-22T00:00:00Z |
| spellingShingle | High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet, Why High-Performance Modelling and Simulation for Big Data Applications Matters -- Parallelization of hierarchical matrix algorithms for electromagnetic scattering problems -- Tail Distribution and Extreme Quantile Estimation using Non-Parametric Approaches -- Towards efficient and scalable data-intensive content delivery: State-of-the-art, issues and challenges -- Big Data in 5G Distributed Applications -- Big Data Processing, Analysis and Applications in Mobile Cellular Networks -- Medical Data Processing and Analysis for Remote Health and Activities Monitoring -- Towards human cell simulation -- Cloud-based High Throughput Virtual Screening in Novel Drug Discovery -- Ultra Wide Band Body Area Networks: Design and integration with Computational Clouds -- Survey on AI-based multimodal methods for emotion detection -- Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-oriented Survey of the State-of-the-Art in the Cloud Era, This open access book is the final compendium of case studies emanated from the 4-year COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet). Funded by the European Commission from 2015, cHiPSet has created a sustainable reference network linking applied research in High Performance Computing (HPC) and Modelling & Simulation to tangibly address Big Data challenges. cHiPSet has enabled research partnerships for dozens of academics and industry practitioners located in 34 COST countries, as well as in Australia, Belarus, Brazil, China, Russia, and the USA. As a cooperation framework, cHiPSet has reached out to new audiences such as ICT professionals, commercial software developers, and the general public. At a time when Big Data has become a common household term, cHiPSet has strived to become a knowledge hub where data-driven HPC meets Modelling & Simulation. cHiPSet has also endeavoured to use and exploit results through Open Science practices, i.e., open access publication, open access to data repositories, and open-source software development. A testament to this philosophy, this compendium is set to become a required reference for the fast-changing fields of HPC, Big Data, and Modelling & Simulation, System Performance and Evaluation, Computer system performance, Computer Communication Networks, Computer science, Computer system failures., Computer communication systems., Electronic digital computers—Evaluation., Logic design, Operating systems (Computers), Microprocessors., Application software., Computer architecture., Computer networks ., Electronic digital computers, Softwareentwicklung, Simulation, Big Data |
| title | High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet |
| title_auth | High-Performance Modelling and Simulation for Big Data Applications Selected Results of the COST Action IC1406 cHiPSet |
| title_full | High-Performance Modelling and Simulation for Big Data Applications Selected Results of the COST Action IC1406 cHiPSet edited by Joanna Kołodziej, Horacio González-Vélez |
| title_fullStr | High-Performance Modelling and Simulation for Big Data Applications Selected Results of the COST Action IC1406 cHiPSet edited by Joanna Kołodziej, Horacio González-Vélez |
| title_full_unstemmed | High-Performance Modelling and Simulation for Big Data Applications Selected Results of the COST Action IC1406 cHiPSet edited by Joanna Kołodziej, Horacio González-Vélez |
| title_short | High-Performance Modelling and Simulation for Big Data Applications |
| title_sort | high-performance modelling and simulation for big data applications selected results of the cost action ic1406 chipset |
| title_sub | Selected Results of the COST Action IC1406 cHiPSet |
| title_unstemmed | High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet |
| topic | System Performance and Evaluation, Computer system performance, Computer Communication Networks, Computer science, Computer system failures., Computer communication systems., Electronic digital computers—Evaluation., Logic design, Operating systems (Computers), Microprocessors., Application software., Computer architecture., Computer networks ., Electronic digital computers, Softwareentwicklung, Simulation, Big Data |
| topic_facet | System Performance and Evaluation, Computer system performance, Computer Communication Networks, Computer science, Computer system failures., Computer communication systems., Electronic digital computers—Evaluation., Logic design, Operating systems (Computers), Microprocessors., Application software., Computer architecture., Computer networks ., Electronic digital computers, Softwareentwicklung, Simulation, Big Data |
| url | https://doi.org/10.1007/978-3-030-16272-6 |
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