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Heterogeneous computing architectures : challenges and vision

Author: Olivier Terzo
Publisher: Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2019.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and Cloud computing are not  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
(DLC) 2019021391
(OCoLC)1099684702
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Olivier Terzo
ISBN: 9780429680045 042968004X 9780429399602 042939960X 9780429680038 0429680031 9780429680021 0429680023
OCLC Number: 1119580796
Description: 1 online resource
Contents: Preface Acknowledgements About the Editors Contributors 1 Heterogeneous Data Center Architectures: Software&Hardware Integration and Orchestration Aspects 1.1 Introduction 1.2 Backgrounds 1.3 Heterogeneous devices in modern data centers 1.4 Orchestration in heterogeneous environments 1.5 Simulations 1.6 Conclusions 2 Modular Operating Systems for Large Scale, Distributed and Heterogeneous Environments 2.1 Introduction 2.2 Modern Applications 2.3 Related Work 2.4 Modular Operating Systems 2.5 Analysis 2.6 Conclusion 3 Programming and Architecture Models 3.1 Introduction 3.2 Heterogeneous Programming Models 3.3 Heterogeneous Programming Languages 3.4 Heterogeneous Device Selection 3.5 Emerging Programming Models and Architectures 3.6 Ongoing European Projects 3.7 Conclusions 4 Simplifying Parallel Programming and Execution for Distributed Heterogeneous Computing Platforms 4.1 Introduction 4.2 StarSs: a Task-based Approach 4.3 Related Work 4.4 Conclusion 5 Design-time Tooling to Guide Programming for Embedded Heterogeneous Hardware Platforms 5.1 Introduction 5.2 Placer - Input and Output Metamodels 5.3 Graphical Front-End 5.4 Placement algorithm 5.5 DS-Explorer 5.6 The AquaScan Case Study 5.7 Related Works 5.8 Conclusion and Future Work 6 Middleware, Infrastructure Management and Self-Reconfiguration for Heterogeneous Parallel Architecture Environments 6.1 Introduction 6.2 Architecture 6.3 Adaptation Framework 6.4 Experimental Design 6.5 Evaluation 6.6 Related Work 6.7 Conclusion 7 A Novel Framework for Utilising Multi-FPGAs in HPC Systems 7.1 Introduction 7.2 The Framework 7.3 UNILOGIC & Hardware Platform 7.4 Runtime System 7.5 Accelerator Generation 7.6 Partial Reconfiguration 7.7 Conclusions 8 A Quantitative Comparison for Image Recognition on Accelerated Heterogeneous Cloud Infrastructures 8.1 Introduction 8.2 Computational approaches on Caffe 8.3 Performance evaluation and quantitative comparison 8.4 Conclusions 9 Machine Learning on Low-Power Low-Cost Platforms: an Application Case Study 9.1 Introduction 9.2 Backgrounds 9.3 Running CNNs on a bare-metal accelerator: a case study 9.4 Solution design 9.5 Experimental evaluation 9.6 Conclusion 10 Security for Heterogeneous Systems 10.1 Heterogeneous systems today 10.2 Heterogeneous systems issues 10.3 PDR secure framework 10.4 Conclusion 11 Real-Time Heterogeneous Platforms 11.1 Real Time task models 11.2 Architecture 11.3 Software support and programming models for future RT systems 12 Future Challenges in Heterogeneity 12.1 Introduction 12.2 The heterogeneous computing continuum 12.3 Processing architectures evolution 12.4 Programming challenges 12.5 Orchestration in heterogeneous environments 12.6 Conclusion Bibliography Index
Responsibility: Olivier Terzo, Karim Djemame, Alberto Scionti and Clara Pezuela.

Abstract:

Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and Cloud computing are not separate trends, but aspects of a single trend-mainstream; computers from desktop to smartphones are being permanently transformed into heterogeneous supercomputer clusters. The reader will get an organic perspective of modern heterogeneous systems and their future evolution.

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