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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Weitere Verfasser: Li, Kuan-Ching (HerausgeberIn), Di Martino, Beniamino 1967- (HerausgeberIn), Yang, Laurence Tianruo (HerausgeberIn), Zhang, Qingchen (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Boca Raton, Florida CRC Press [2019]
Schriftenreihe:Chapman & Hall/CRC big data series
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

Es ist kein Print-Exemplar vorhanden.

Fernleihe Bestellen Achtung: Nicht im THWS-Bestand! Volltext öffnen