Heterogeneous Computing Architectures: Challenges and Vision

by Olivier Terzo (Editor), Karim Djemame (Editor), Alberto Scionti (Editor), Clara Pezuela (Editor)

Overview

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.

Product Details

ISBN-13:	9780429680038
Publisher:	CRC Press
Publication date:	09/10/2019
Sold by:	Barnes & Noble
Format:	eBook
Pages:	338
File size:	7 MB

About the Author

Olivier Terzo is Head of the Advanced Computing and Electromagnetics (ACE) Research Area at Leading Innovation & Knowledge for Society (LINKS) Foundation.

Karim Djemame is a Professor at the School of Computing and is the co-founder of the Heterogeneous Hardware & Software Alliance (HH&S), an initiative undertaken by the Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation (TANGO) project.

Alberto Scionti is a Senior Researcher in the Advanced Computing and Electromagnetics (ACE) Research Area at Leading Innovation & Knowledge for Society (LINKS) Foundation.

Clara Pezuela is the Head of IT Market at Research and Innovation Group in Atos. She is also the President of PLANETIC, the Spanish technology platform for the adoption and promotion of ICT in Spain.

Table of 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