New frontiers in high performance computing and big data /:
For the last four decades, parallel computing platforms have increasingly formed the basis for the development of high performance systems primarily aimed at the solution of intensive computing problems, and the application of parallel computing systems has also become a major factor in furthering s...
Gespeichert in:
| Körperschaft: | |
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| Weitere Verfasser: | , , , , |
| Format: | Elektronisch Tagungsbericht E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam :
IOS Press,
[2017]
|
| Schriftenreihe: | Advances in parallel computing ;
v. 30. |
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | For the last four decades, parallel computing platforms have increasingly formed the basis for the development of high performance systems primarily aimed at the solution of intensive computing problems, and the application of parallel computing systems has also become a major factor in furthering scientific research. But such systems also offer the possibility of solving the problems encountered in the processing of large-scale scientific data sets, as well as in the analysis of Big Data in the fields of medicine, social media, marketing, economics etc.This book presents papers from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2016. The workshop covered a wide range of topics and new developments related to the solution of intensive and large-scale computing problems, and the contributions included in this volume cover aspects of the evolution of parallel platforms and highlight some of the problems encountered with the development of ever more powerful computing systems. The importance of future large-scale data science applications is also discussed.The book will be of particular interest to all those involved in the development or application of parallel computing systems.--Provided by publisher. |
| Beschreibung: | 1 online resource (viii, 263 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and indexes. |
| ISBN: | 9781614998167 1614998167 |
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| author_additional | Gwendolyn R. Voskuilen -- Adolfy Hoisie -- Matthew Anderson -- Erwin Laure -- Jarek Nabrzyski -- Antonio Esposito -- Rafael Tolosana-Calasanz -- Domenico Talia -- Manish Parashar -- Judy Qiu -- Isabel Beichl -- Sudip Dosanjh -- Steven H. Adachi. |
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| contents | Architectures -- Exascale Co-Design Progress and Accomplishments / Application-Specific Energy Modeling of Multi-Core Processors / Asymptotic Computing -- Undoing the Damage / MPI Streams for HPC Applications / Advances in Topology-Aware Scheduling in Multidimensional Torus-Based Systems / Data Science -- Patterns for High Performance Computing and Big Data: State of the Art and Semantic Approaches / Big Iron, Big Data, and Big Identity / Programming Big Data Analysis on Clouds and Extreme Scale Systems / Adaptive Data Placement in Multi-Tiered Data Staging Runtime / Case Studies -- Parallelizing Big Data Machine Learning Applications with Model Rotation / How Data Analysis Supports Crime Prediction in Smart Cities / Merging Data Science and Large Scale Computational Modeling / Optimizing Science Applications for the Cori, Knights Landing, System at NERSC / Quantum Annealing and the Satisfiability Problem / |
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| owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 online resource (viii, 263 pages) : illustrations |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | IOS Press, |
| record_format | marc |
| series | Advances in parallel computing ; |
| series2 | Advances in parallel computing ; |
| spelling | International Research Workshop on Advanced High Performance Computing Systems (2016 : Cetraro, Italy) http://id.loc.gov/authorities/names/no2018062906 New frontiers in high performance computing and big data / edited by Geoffrey Fox, Vladimir Getov, Lucio Grandinetti, Gerhard Joubert, and Thomas Sterling. Amsterdam : IOS Press, [2017] ©2017 1 online resource (viii, 263 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Advances in parallel computing ; volume 30 Includes bibliographical references and indexes. Online resource; title from PDF title page (IOS Press, viewed November 21, 2017). Machine generated contents note: Architectures -- Exascale Co-Design Progress and Accomplishments / Gwendolyn R. Voskuilen -- Application-Specific Energy Modeling of Multi-Core Processors / Adolfy Hoisie -- Asymptotic Computing -- Undoing the Damage / Matthew Anderson -- MPI Streams for HPC Applications / Erwin Laure -- Advances in Topology-Aware Scheduling in Multidimensional Torus-Based Systems / Jarek Nabrzyski -- Data Science -- Patterns for High Performance Computing and Big Data: State of the Art and Semantic Approaches / Antonio Esposito -- Big Iron, Big Data, and Big Identity / Rafael Tolosana-Calasanz -- Programming Big Data Analysis on Clouds and Extreme Scale Systems / Domenico Talia -- Adaptive Data Placement in Multi-Tiered Data Staging Runtime / Manish Parashar -- Case Studies -- Parallelizing Big Data Machine Learning Applications with Model Rotation / Judy Qiu -- How Data Analysis Supports Crime Prediction in Smart Cities / Domenico Talia -- Merging Data Science and Large Scale Computational Modeling / Isabel Beichl -- Optimizing Science Applications for the Cori, Knights Landing, System at NERSC / Sudip Dosanjh -- Quantum Annealing and the Satisfiability Problem / Steven H. Adachi. For the last four decades, parallel computing platforms have increasingly formed the basis for the development of high performance systems primarily aimed at the solution of intensive computing problems, and the application of parallel computing systems has also become a major factor in furthering scientific research. But such systems also offer the possibility of solving the problems encountered in the processing of large-scale scientific data sets, as well as in the analysis of Big Data in the fields of medicine, social media, marketing, economics etc.This book presents papers from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2016. The workshop covered a wide range of topics and new developments related to the solution of intensive and large-scale computing problems, and the contributions included in this volume cover aspects of the evolution of parallel platforms and highlight some of the problems encountered with the development of ever more powerful computing systems. The importance of future large-scale data science applications is also discussed.The book will be of particular interest to all those involved in the development or application of parallel computing systems.--Provided by publisher. High performance computing Congresses. Big data Congresses. Superinformatique Congrès. Données volumineuses Congrès. COMPUTERS Data Processing. bisacsh Big data fast High performance computing fast Conference papers and proceedings fast Fox, Geoffrey, editor. Getov, Vladimir, editor. http://id.loc.gov/authorities/names/n83194704 Grandinetti, Lucio, 1941- editor. https://id.oclc.org/worldcat/entity/E39PCjCDcft69hJ836dCMf4Yrq http://id.loc.gov/authorities/names/n92003094 Joubert, G. R. (Gerhard Robert), editor. https://id.oclc.org/worldcat/entity/E39PCjyrf6cgWxVx8dQHJbqfbd http://id.loc.gov/authorities/names/n89670157 Sterling, Thomas Lawrence, editor. http://id.loc.gov/authorities/names/n87828687 has work: New frontiers in high performance computing and big data (Text) https://id.oclc.org/worldcat/entity/E39PCFJMGdMD4WGF8yXDWBJCHy https://id.oclc.org/worldcat/ontology/hasWork Print version: New frontiers in high performance computing and big data. Amsterdam, Netherlands : IOS Press, ©2017 viii, 264 pages Advances in parallel computing ; Volume 30 9781614998150 Advances in parallel computing ; v. 30. http://id.loc.gov/authorities/names/n88500108 |
| spellingShingle | New frontiers in high performance computing and big data / Advances in parallel computing ; Architectures -- Exascale Co-Design Progress and Accomplishments / Application-Specific Energy Modeling of Multi-Core Processors / Asymptotic Computing -- Undoing the Damage / MPI Streams for HPC Applications / Advances in Topology-Aware Scheduling in Multidimensional Torus-Based Systems / Data Science -- Patterns for High Performance Computing and Big Data: State of the Art and Semantic Approaches / Big Iron, Big Data, and Big Identity / Programming Big Data Analysis on Clouds and Extreme Scale Systems / Adaptive Data Placement in Multi-Tiered Data Staging Runtime / Case Studies -- Parallelizing Big Data Machine Learning Applications with Model Rotation / How Data Analysis Supports Crime Prediction in Smart Cities / Merging Data Science and Large Scale Computational Modeling / Optimizing Science Applications for the Cori, Knights Landing, System at NERSC / Quantum Annealing and the Satisfiability Problem / High performance computing Congresses. Big data Congresses. Superinformatique Congrès. Données volumineuses Congrès. COMPUTERS Data Processing. bisacsh Big data fast High performance computing fast |
| title | New frontiers in high performance computing and big data / |
| title_alt | Architectures -- Exascale Co-Design Progress and Accomplishments / Application-Specific Energy Modeling of Multi-Core Processors / Asymptotic Computing -- Undoing the Damage / MPI Streams for HPC Applications / Advances in Topology-Aware Scheduling in Multidimensional Torus-Based Systems / Data Science -- Patterns for High Performance Computing and Big Data: State of the Art and Semantic Approaches / Big Iron, Big Data, and Big Identity / Programming Big Data Analysis on Clouds and Extreme Scale Systems / Adaptive Data Placement in Multi-Tiered Data Staging Runtime / Case Studies -- Parallelizing Big Data Machine Learning Applications with Model Rotation / How Data Analysis Supports Crime Prediction in Smart Cities / Merging Data Science and Large Scale Computational Modeling / Optimizing Science Applications for the Cori, Knights Landing, System at NERSC / Quantum Annealing and the Satisfiability Problem / |
| title_auth | New frontiers in high performance computing and big data / |
| title_exact_search | New frontiers in high performance computing and big data / |
| title_full | New frontiers in high performance computing and big data / edited by Geoffrey Fox, Vladimir Getov, Lucio Grandinetti, Gerhard Joubert, and Thomas Sterling. |
| title_fullStr | New frontiers in high performance computing and big data / edited by Geoffrey Fox, Vladimir Getov, Lucio Grandinetti, Gerhard Joubert, and Thomas Sterling. |
| title_full_unstemmed | New frontiers in high performance computing and big data / edited by Geoffrey Fox, Vladimir Getov, Lucio Grandinetti, Gerhard Joubert, and Thomas Sterling. |
| title_short | New frontiers in high performance computing and big data / |
| title_sort | new frontiers in high performance computing and big data |
| topic | High performance computing Congresses. Big data Congresses. Superinformatique Congrès. Données volumineuses Congrès. COMPUTERS Data Processing. bisacsh Big data fast High performance computing fast |
| topic_facet | High performance computing Congresses. Big data Congresses. Superinformatique Congrès. Données volumineuses Congrès. COMPUTERS Data Processing. Big data High performance computing Conference papers and proceedings |
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