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.

Preface. Acknowledgements. About the Editors. Contributors. Heterogeneous Data Center Architectures: Software&Hardware Integration and Orchestration Aspects. Modular Operating Systems for Large Scale, Distributed and Heterogeneous Environments. Programming and Architecture Models. Simplifying Parallel Programming and Execution for Distributed Heterogeneous Computing Platforms. Design-time Tooling to Guide Programming for Embedded Heterogeneous Hardware Platforms. Middleware, Infrastructure Management and Self-Reconfiguration for Heterogeneous Parallel Architecture Environments. A Novel Framework for Utilising Multi-FPGAs in HPC Systems. A Quantitative Comparison for Image Recognition on Accelerated Heterogeneous Cloud Infrastructures. Machine Learning on Low-Power Low-Cost Platforms: an Application Case Study. Security for Heterogeneous Systems. Real-Time Heterogeneous Platforms. Future Challenges in Heterogeneity. Bibliography. Index