Heterogeneous Computing Architectures-Challenges and Vision

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