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Full Description
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.
Contents
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
