Smart data: state-of-the-art perspectives in computing and applications
2.3 Aneka: Cloud Application Platform3 Motivation; 3.1 Challenges for GPU Programming in Cloud; 4 Related Work; 4.1 GPU Virtualization Through API Remoting; 4.1.1 vCUDA; 4.1.2 gVirtus; 4.1.3 rCUDA; 4.2 Using Resource Management Systems; 4.3 Using Framework Schedulers; 4.4 GPUs in Cloud; 5 Methodolog...
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Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boca Raton, Florida
CRC Press
[2019]
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Schriftenreihe: | Chapman & Hall/CRC big data series
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Schlagworte: | |
Online-Zugang: | FHI01 FHR01 UER01 Volltext |
Zusammenfassung: | 2.3 Aneka: Cloud Application Platform3 Motivation; 3.1 Challenges for GPU Programming in Cloud; 4 Related Work; 4.1 GPU Virtualization Through API Remoting; 4.1.1 vCUDA; 4.1.2 gVirtus; 4.1.3 rCUDA; 4.2 Using Resource Management Systems; 4.3 Using Framework Schedulers; 4.4 GPUs in Cloud; 5 Methodology for Aneka GPU Computing; 5.1 Methodology; 5.2 Extended Aneka Architecture; 5.2.1 GPU Resources in IaaS; 5.2.2 Task Programming Model for GPU; 5.2.3 APIs and SDKs for GPGPU on Aneka Cloud; 5.3 GPU-Aware Scheduling of Tasks; 5.4 Template for Aneka GPU Task Programming 3 FPGAs in Deep Learning3.1 FPGA Optimizations for NN Operations; 3.1.1 Communications Path Optimizations; 3.1.2 Processing Element Optimizations; 3.1.3 NN Model Optimizations; 3.2 FPGA Reconfigurability for NNs; 3.2.1 FPGA Reconfigurability in Inference Processing; 3.2.2 FPGA Reconfigurability in NN Training; 4 Discussion; 4.1 Neural Network Models for Heterogeneous Systems; 5 Conclusion; Further Reading; References; CHAPTER 2 : GPU PaaS Computation Model in Aneka Cloud Computing Environments; 1 Introduction; 2 Background; 2.1 Cloud Computing; 2.2 GPU Computing 3.3 Data Structures3.4 Index Blind Storage Operations; 4 The Algorithms Implementations for IBS-SSE; 4.1 The Implementation Flow; 4.2 Access Control Algorithms; 5 Security Analysis; 5.1 Confidentiality of Data and Index; 5.2 Trapdoor Security; 5.3 Complete Concealing of Access Pattern; 5.4 The Probability of Aborting; 6 Performance Evaluation; 6.1 Functionality; 6.2 Computation Costs; 6.3 Communication Cost; 7 Conclusion; CHAPTER 4 : Encrypted Big Data Deduplication in Cloud Storage; 1 Introduction; 2 Related Work Review and Open Research Issues; 2.1 Access Control on Encrypted Data |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | 1 Online-Ressource (xviii, 409 Seiten) |
ISBN: | 0429018029 9780429018022 9780429507670 |
DOI: | 10.1201/9780429507670 |
Internformat
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Datensatz im Suchindex
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author2 | Li, Kuan-Ching Di Martino, Beniamino 1967- Yang, Laurence Tianruo Zhang, Qingchen |
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language | English |
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series2 | Chapman & Hall/CRC big data series |
spelling | Smart data state-of-the-art perspectives in computing and applications edited by Kuan-Ching Li, Beniamino DiMartino, Laurence T. Yang, Qingchen Zhang Boca Raton, Florida CRC Press [2019] © 2019 1 Online-Ressource (xviii, 409 Seiten) txt rdacontent c rdamedia cr rdacarrier Chapman & Hall/CRC big data series Includes bibliographical references and index 2.3 Aneka: Cloud Application Platform3 Motivation; 3.1 Challenges for GPU Programming in Cloud; 4 Related Work; 4.1 GPU Virtualization Through API Remoting; 4.1.1 vCUDA; 4.1.2 gVirtus; 4.1.3 rCUDA; 4.2 Using Resource Management Systems; 4.3 Using Framework Schedulers; 4.4 GPUs in Cloud; 5 Methodology for Aneka GPU Computing; 5.1 Methodology; 5.2 Extended Aneka Architecture; 5.2.1 GPU Resources in IaaS; 5.2.2 Task Programming Model for GPU; 5.2.3 APIs and SDKs for GPGPU on Aneka Cloud; 5.3 GPU-Aware Scheduling of Tasks; 5.4 Template for Aneka GPU Task Programming 3 FPGAs in Deep Learning3.1 FPGA Optimizations for NN Operations; 3.1.1 Communications Path Optimizations; 3.1.2 Processing Element Optimizations; 3.1.3 NN Model Optimizations; 3.2 FPGA Reconfigurability for NNs; 3.2.1 FPGA Reconfigurability in Inference Processing; 3.2.2 FPGA Reconfigurability in NN Training; 4 Discussion; 4.1 Neural Network Models for Heterogeneous Systems; 5 Conclusion; Further Reading; References; CHAPTER 2 : GPU PaaS Computation Model in Aneka Cloud Computing Environments; 1 Introduction; 2 Background; 2.1 Cloud Computing; 2.2 GPU Computing 3.3 Data Structures3.4 Index Blind Storage Operations; 4 The Algorithms Implementations for IBS-SSE; 4.1 The Implementation Flow; 4.2 Access Control Algorithms; 5 Security Analysis; 5.1 Confidentiality of Data and Index; 5.2 Trapdoor Security; 5.3 Complete Concealing of Access Pattern; 5.4 The Probability of Aborting; 6 Performance Evaluation; 6.1 Functionality; 6.2 Computation Costs; 6.3 Communication Cost; 7 Conclusion; CHAPTER 4 : Encrypted Big Data Deduplication in Cloud Storage; 1 Introduction; 2 Related Work Review and Open Research Issues; 2.1 Access Control on Encrypted Data Big Data (DE-588)4802620-7 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Entscheidungsfindung (DE-588)4113446-1 gnd rswk-swf Big data Decision making / Data processing Computer network resources COMPUTERS / Databases / Data Warehousing ; bisacsh BUSINESS & ECONOMICS / Statistics ; bisacsh COMPUTERS / General ; bisacsh COMPUTERS / Database Management / Data Mining ; bisacsh Big Data (DE-588)4802620-7 s Entscheidungsfindung (DE-588)4113446-1 s Datenverarbeitung (DE-588)4011152-0 s DE-604 Li, Kuan-Ching edt Di Martino, Beniamino 1967- (DE-588)1119923867 edt Yang, Laurence Tianruo (DE-588)129364983 edt Zhang, Qingchen edt 9780429018039 PDF ebook 0429018037 9780429018015 Mobipocket ebook 0429018010 9780429507670 ebook 0429507674 9781138545588 1138545589 Erscheint auch als Druck-Ausgabe 978-1-138-54558-8 https://doi.org/10.1201/9780429507670 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Smart data state-of-the-art perspectives in computing and applications Big Data (DE-588)4802620-7 gnd Datenverarbeitung (DE-588)4011152-0 gnd Entscheidungsfindung (DE-588)4113446-1 gnd |
subject_GND | (DE-588)4802620-7 (DE-588)4011152-0 (DE-588)4113446-1 |
title | Smart data state-of-the-art perspectives in computing and applications |
title_auth | Smart data state-of-the-art perspectives in computing and applications |
title_exact_search | Smart data state-of-the-art perspectives in computing and applications |
title_full | Smart data state-of-the-art perspectives in computing and applications edited by Kuan-Ching Li, Beniamino DiMartino, Laurence T. Yang, Qingchen Zhang |
title_fullStr | Smart data state-of-the-art perspectives in computing and applications edited by Kuan-Ching Li, Beniamino DiMartino, Laurence T. Yang, Qingchen Zhang |
title_full_unstemmed | Smart data state-of-the-art perspectives in computing and applications edited by Kuan-Ching Li, Beniamino DiMartino, Laurence T. Yang, Qingchen Zhang |
title_short | Smart data |
title_sort | smart data state of the art perspectives in computing and applications |
title_sub | state-of-the-art perspectives in computing and applications |
topic | Big Data (DE-588)4802620-7 gnd Datenverarbeitung (DE-588)4011152-0 gnd Entscheidungsfindung (DE-588)4113446-1 gnd |
topic_facet | Big Data Datenverarbeitung Entscheidungsfindung |
url | https://doi.org/10.1201/9780429507670 |
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