Handbook of Research on Methodologies and Applications of Supercomputing:
As computers continue to remain essential tools for the pursuit of physics, medicine, economics, social sciences, and more, supercomputers are proving that they can further extend and greatly enhance as-of-yet undiscovered knowledge and solve the world’s most complex problems. As these instruments c...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hershey, PA
Engineering Science Reference
2021
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| Schriftenreihe: | Advances in systems analysis, software engineering, and high performance computing
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | As computers continue to remain essential tools for the pursuit of physics, medicine, economics, social sciences, and more, supercomputers are proving that they can further extend and greatly enhance as-of-yet undiscovered knowledge and solve the world’s most complex problems. As these instruments continue to lead to groundbreaking discoveries and breakthroughs, it is imperative that research remains up to date with the latest findings and uses.The Handbook of Research on Methodologies and Applications of Supercomputing is a comprehensive and critical reference book that provides research on the latest advances of control flow and dataflow supercomputing and highlights selected emerging big data applications needing high acceleration and/or low power. Consequently, this book advocates the need for hybrid computing, where the control flow part represents the host architecture and dataflow part represents the acceleration architecture. These issues cover the initial eight chapters. The remaining eight chapters cover selected modern applications that are best implemented on a hybrid computer, in which the transactional parts (serial code) are implemented on the control flow part and the loops (parallel code) on the dataflow part. These final eight chapters cover two major application domains: scientific computing and computing for digital economy. This book offers applications in marketing, medicine, energy systems, and library science, among others, and is an essential source for scientists, programmers, engineers, practitioners, researchers, academicians, and students interested in the latest findings and advancements in supercomputing |
| Beschreibung: | xxvii, 394 Seiten Illustrationen, Diagramme |
| ISBN: | 9781799871569 |
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| 520 | 3 | |a As computers continue to remain essential tools for the pursuit of physics, medicine, economics, social sciences, and more, supercomputers are proving that they can further extend and greatly enhance as-of-yet undiscovered knowledge and solve the world’s most complex problems. As these instruments continue to lead to groundbreaking discoveries and breakthroughs, it is imperative that research remains up to date with the latest findings and uses.The Handbook of Research on Methodologies and Applications of Supercomputing is a comprehensive and critical reference book that provides research on the latest advances of control flow and dataflow supercomputing and highlights selected emerging big data applications needing high acceleration and/or low power. Consequently, this book advocates the need for hybrid computing, where the control flow part represents the host architecture and dataflow part represents the acceleration architecture. These issues cover the initial eight chapters. The remaining eight chapters cover selected modern applications that are best implemented on a hybrid computer, in which the transactional parts (serial code) are implemented on the control flow part and the loops (parallel code) on the dataflow part. These final eight chapters cover two major application domains: scientific computing and computing for digital economy. This book offers applications in marketing, medicine, energy systems, and library science, among others, and is an essential source for scientists, programmers, engineers, practitioners, researchers, academicians, and students interested in the latest findings and advancements in supercomputing | |
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| adam_text | Table of Contents Preface...................................................................................................................................................................... xxiv Acknowledgment................................................................................................................................................xxviii Chapter 1 An Introduction to Controlflow and Dataflow Supercomputing....................................................................... 1 Miloš Kotlar, School of Electrical Engineering, University of Belgrade, Serbia Chapter 2 Introduction to Control Flow.....................................................................................................................................5 Ivan Ratković, Esperanto Technologies, Serbia Miljan Djordjevic, University of Belgrade, Serbia Chapter 3 Optimal Scheduling of Parallel Jobs With Unknown Service Requirements............................................ 18 Benjamin Berg, Carnegie Mellon University, USA Mor Harchol-Balter, Carnegie Mellon University, USA Chapter 4 Intelligent Management of Mobile Systems Through Computational Self-Awareness........................... 41 Bryan Donyanavard, University of California, Irvine, USA AmirM. Rahmani, University of California, Irvine, USA Axel Jantsch, TU Wien, Austria Onur Mutlu, Swiss Federal Institute of Technology in Zurich, Switzerland Nikil Dutt, University of California, Irvine, USA Chapter 5 Paradigms for Effective Parallelization of Inherently Sequential Graph Algorithms on Multi-Core
Architectures.............................................................................................................................................................. 74 Assefaw Gebremedhin, Washington State University, USA Mostofa Patwary, NVIDIA, USA Fredrik Manne, University of Bergen, Norway
Chapter 6 Introduction to Dataflow Computing........................................................................................................ 96 Nenad Korolija, School of Electrical Engineering, University of Belgrade, Serbia Jovan Popovič, Microsoft Development Center, Serbia Miroslav M. Bojović, School of Electrical Engineering, University of Belgrade, Serbia , Chapter 7 Data Flow Implementation of Erosion and Dilation..............................................................................106 Christina Pacher, Universität Wien, Austria Chapter 8 Transforming the Method of Least Squares to the Dataflow Paradigm............................................... 114 Ilir Murturi, Distributed Systems Group, TU Wien, Austria Chapter 9 Forest Fire Simulation: Efficient Realization Based on Cellular Automata........................................122 Severin Staudinger, University of Vienna, Austria Chapter 10 High Performance Computing for Understanding Natural Language................................................. 133 Marija Stanojevič, Temple University, USA Jumanah Alshehri, Temple University, USA Zoran Obradovic, Temple University, USA Chapter 11 Deposition of Submicron Particles by Chaotic Mixing in the Pulmonary Acinus: Acinar Chaotic Mixing....................................................................................................................................................... 145 Akira Tsuda, Tsuda Lung Research, USA Frank S. Henry, Manhattan College, USA Chapter 12 Recommender Systems in Digital Libraries Using Artificial Intelligence and
Machine Learning: A Proposal to Create Automated Links Between Different Articles Dealing With Similar Topics... 162 Namik Delilovic, Graz University of Technology, Austria Chapter 13 Unified Modeling for Emulating Electric Energy Systems: Toward Digital Twin That Might Work 179 Marija Ніс, Massachusetts Institute of Technology, USA Rupamathi Jaddivada, Massachusetts Institute of Technology, USA Assefaw Gebremedhin, Washington State University, USA
Chapter 14 A Backtracking Algorithmic Toolbox for Solving the Subgraph Isomorphism Problem................... 208 Jurij Mihelič, Faculty of Computer and Information Science, University of Ljubljana, Slovenia Uroš Čibej, Faculty of Computer and Information Science, University of Ljubljana, Slovenia Luka Fürst, Faculty of Computer and Information Science, University of Ljubljana, Slovenia Chapter 15 AI Storm ... From Logical Inference and Chatbots to Signal Weighting, Entropy Pooling: Future of AI in Marketing....................................................................................................................................247 Luiz A. M. Moutinho, University of Suffolk, UK Chapter 16 Efficient End-to-End Asynchronous Time-Series Modeling With Deep Learning to Predict Customer Attrition....................................................................................................................................268 Victor Potapenko, Florida International University, USA Malek Adjouadi, Florida International University, USA Naphtali Rishe, Florida International University, USA Chapter 17 Mind Genomics With Big Data for Digital Marketing on the Internet.................................................282 Jakob Salom, Mathematical Institute of Serbian Academy of Sciences and Arts, Serbia Chapter 18 Supercomputing in the Study and Stimulation of the Bram..................................................................290 Laura Dipietro, Highland Instruments, USA Seth Elkin-Frankston, U.S. Army Combat Capabilities Development Command Soldier Center, USA Ciro
Ramos-Estebanez, Case Western Reserve University, USA Timothy Wagner, Harvard-MIT Division of Health Sciences and Technology, Highland Instruments, USA Chapter 19 An Experimental Healthcare System: Essence and Challenges..............................................................301 Miroslav M. Bojović, School of Electrical Engineering, University of Belgrade, Serbia Veljko Milutinovič, School of Electrical Engineering, University of Belgrade, Serbia Dragan Bojić, School of Electrical Engineering, University of Belgrade, Serbia Nenad Korolija, School of Electrical Engineering, University of Belgrade, Serbia Chapter 20 What Supercomputing Will Be Like in the Coming Years....................................................................309 Mehmet Dalkilic, Indiana University, Bloomington, USA
Chapter 21 The Ultimate Data Flow for Ultimate Super Computers-on-a-Chip.......................................................312 Veljko Milutinovič, Indiana University, USA Miloš Kotlar, School of Electrical Engineering, University of Belgrade, Serbia Ivan Ratković, Esperanto Technologies, Serbia Nenad Korolija, Independent Researcher, Serbia Miljan Djordjevic, University of Belgrade, Serbia Kristy Yoshimoto, Indiana University, USA Mateo Valero, BSC, Spain Conclusion................................................................................................................................................ 319 Appendix: Birds of a Feather................................................................................................................ 321 Compilation of References.....................................................................................................................347 About the Contributors.......................................................................................................................... 383 Index...........................................................................................................................................................391
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| adam_txt |
Table of Contents Preface. xxiv Acknowledgment.xxviii Chapter 1 An Introduction to Controlflow and Dataflow Supercomputing. 1 Miloš Kotlar, School of Electrical Engineering, University of Belgrade, Serbia Chapter 2 Introduction to Control Flow.5 Ivan Ratković, Esperanto Technologies, Serbia Miljan Djordjevic, University of Belgrade, Serbia Chapter 3 Optimal Scheduling of Parallel Jobs With Unknown Service Requirements. 18 Benjamin Berg, Carnegie Mellon University, USA Mor Harchol-Balter, Carnegie Mellon University, USA Chapter 4 Intelligent Management of Mobile Systems Through Computational Self-Awareness. 41 Bryan Donyanavard, University of California, Irvine, USA AmirM. Rahmani, University of California, Irvine, USA Axel Jantsch, TU Wien, Austria Onur Mutlu, Swiss Federal Institute of Technology in Zurich, Switzerland Nikil Dutt, University of California, Irvine, USA Chapter 5 Paradigms for Effective Parallelization of Inherently Sequential Graph Algorithms on Multi-Core
Architectures. 74 Assefaw Gebremedhin, Washington State University, USA Mostofa Patwary, NVIDIA, USA Fredrik Manne, University of Bergen, Norway
Chapter 6 Introduction to Dataflow Computing. 96 Nenad Korolija, School of Electrical Engineering, University of Belgrade, Serbia Jovan Popovič, Microsoft Development Center, Serbia Miroslav M. Bojović, School of Electrical Engineering, University of Belgrade, Serbia , Chapter 7 Data Flow Implementation of Erosion and Dilation.106 Christina Pacher, Universität Wien, Austria Chapter 8 Transforming the Method of Least Squares to the Dataflow Paradigm. 114 Ilir Murturi, Distributed Systems Group, TU Wien, Austria Chapter 9 Forest Fire Simulation: Efficient Realization Based on Cellular Automata.122 Severin Staudinger, University of Vienna, Austria Chapter 10 High Performance Computing for Understanding Natural Language. 133 Marija Stanojevič, Temple University, USA Jumanah Alshehri, Temple University, USA Zoran Obradovic, Temple University, USA Chapter 11 Deposition of Submicron Particles by Chaotic Mixing in the Pulmonary Acinus: Acinar Chaotic Mixing. 145 Akira Tsuda, Tsuda Lung Research, USA Frank S. Henry, Manhattan College, USA Chapter 12 Recommender Systems in Digital Libraries Using Artificial Intelligence and
Machine Learning: A Proposal to Create Automated Links Between Different Articles Dealing With Similar Topics. 162 Namik Delilovic, Graz University of Technology, Austria Chapter 13 Unified Modeling for Emulating Electric Energy Systems: Toward Digital Twin That Might Work 179 Marija Ніс, Massachusetts Institute of Technology, USA Rupamathi Jaddivada, Massachusetts Institute of Technology, USA Assefaw Gebremedhin, Washington State University, USA
Chapter 14 A Backtracking Algorithmic Toolbox for Solving the Subgraph Isomorphism Problem. 208 Jurij Mihelič, Faculty of Computer and Information Science, University of Ljubljana, Slovenia Uroš Čibej, Faculty of Computer and Information Science, University of Ljubljana, Slovenia Luka Fürst, Faculty of Computer and Information Science, University of Ljubljana, Slovenia Chapter 15 AI Storm . From Logical Inference and Chatbots to Signal Weighting, Entropy Pooling: Future of AI in Marketing.247 Luiz A. M. Moutinho, University of Suffolk, UK Chapter 16 Efficient End-to-End Asynchronous Time-Series Modeling With Deep Learning to Predict Customer Attrition.268 Victor Potapenko, Florida International University, USA Malek Adjouadi, Florida International University, USA Naphtali Rishe, Florida International University, USA Chapter 17 Mind Genomics With Big Data for Digital Marketing on the Internet.282 Jakob Salom, Mathematical Institute of Serbian Academy of Sciences and Arts, Serbia Chapter 18 Supercomputing in the Study and Stimulation of the Bram.290 Laura Dipietro, Highland Instruments, USA Seth Elkin-Frankston, U.S. Army Combat Capabilities Development Command Soldier Center, USA Ciro
Ramos-Estebanez, Case Western Reserve University, USA Timothy Wagner, Harvard-MIT Division of Health Sciences and Technology, Highland Instruments, USA Chapter 19 An Experimental Healthcare System: Essence and Challenges.301 Miroslav M. Bojović, School of Electrical Engineering, University of Belgrade, Serbia Veljko Milutinovič, School of Electrical Engineering, University of Belgrade, Serbia Dragan Bojić, School of Electrical Engineering, University of Belgrade, Serbia Nenad Korolija, School of Electrical Engineering, University of Belgrade, Serbia Chapter 20 What Supercomputing Will Be Like in the Coming Years.309 Mehmet Dalkilic, Indiana University, Bloomington, USA
Chapter 21 The Ultimate Data Flow for Ultimate Super Computers-on-a-Chip.312 Veljko Milutinovič, Indiana University, USA Miloš Kotlar, School of Electrical Engineering, University of Belgrade, Serbia Ivan Ratković, Esperanto Technologies, Serbia Nenad Korolija, Independent Researcher, Serbia Miljan Djordjevic, University of Belgrade, Serbia Kristy Yoshimoto, Indiana University, USA Mateo Valero, BSC, Spain Conclusion. 319 Appendix: Birds of a Feather. 321 Compilation of References.347 About the Contributors. 383 Index.391 |
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| spelling | Handbook of Research on Methodologies and Applications of Supercomputing edited by Veljko Milutinović, Miloš Kotlar Hershey, PA Engineering Science Reference 2021 Hershey, Pennsylvania, USA IGI Global xxvii, 394 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Advances in systems analysis, software engineering, and high performance computing As computers continue to remain essential tools for the pursuit of physics, medicine, economics, social sciences, and more, supercomputers are proving that they can further extend and greatly enhance as-of-yet undiscovered knowledge and solve the world’s most complex problems. As these instruments continue to lead to groundbreaking discoveries and breakthroughs, it is imperative that research remains up to date with the latest findings and uses.The Handbook of Research on Methodologies and Applications of Supercomputing is a comprehensive and critical reference book that provides research on the latest advances of control flow and dataflow supercomputing and highlights selected emerging big data applications needing high acceleration and/or low power. Consequently, this book advocates the need for hybrid computing, where the control flow part represents the host architecture and dataflow part represents the acceleration architecture. These issues cover the initial eight chapters. The remaining eight chapters cover selected modern applications that are best implemented on a hybrid computer, in which the transactional parts (serial code) are implemented on the control flow part and the loops (parallel code) on the dataflow part. These final eight chapters cover two major application domains: scientific computing and computing for digital economy. This book offers applications in marketing, medicine, energy systems, and library science, among others, and is an essential source for scientists, programmers, engineers, practitioners, researchers, academicians, and students interested in the latest findings and advancements in supercomputing Supercomputer (DE-588)4128144-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Supercomputer (DE-588)4128144-5 s Deep learning (DE-588)1135597375 s Big Data (DE-588)4802620-7 s DE-604 Milutinović, Veljko 1951- (DE-588)172259908 edt Kotlar, Milos ca. 20./21. Jh. (DE-588)123811508X aut Erscheint auch als Online-Ausgabe 978-1-7998-7158-3 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032729755&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Handbook of Research on Methodologies and Applications of Supercomputing |
| title_auth | Handbook of Research on Methodologies and Applications of Supercomputing |
| title_exact_search | Handbook of Research on Methodologies and Applications of Supercomputing |
| title_exact_search_txtP | Handbook of Research on Methodologies and Applications of Supercomputing |
| title_full | Handbook of Research on Methodologies and Applications of Supercomputing edited by Veljko Milutinović, Miloš Kotlar |
| title_fullStr | Handbook of Research on Methodologies and Applications of Supercomputing edited by Veljko Milutinović, Miloš Kotlar |
| title_full_unstemmed | Handbook of Research on Methodologies and Applications of Supercomputing edited by Veljko Milutinović, Miloš Kotlar |
| title_short | Handbook of Research on Methodologies and Applications of Supercomputing |
| title_sort | handbook of research on methodologies and applications of supercomputing |
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| topic_facet | Supercomputer Big Data Deep learning |
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