
Heterogeneous Computing Architectures
Challenges and Vision
CRC Press
1st Edition
Published on 14. June 2022
Book
Paperback/Softback
340 pages
978-1-032-33804-0 (ISBN)
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
83 s/w Abbildungen
83 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 18 mm
Weight
518 gr
ISBN-13
978-1-032-33804-0 (9781032338040)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Olivier Terzo | Karim Djemame | Alberto Scionti
Heterogeneous Computing Architectures
Challenges and Vision
Book
09/2019
1st Edition
CRC Press
€278.00
Shipment within 15-20 days

Olivier Terzo | Karim Djemame | Alberto Scionti
Heterogeneous Computing Architectures
Challenges and Vision
E-Book
09/2019
1st Edition
CRC Press
€107.99
Available for download

Olivier Terzo | Karim Djemame | Alberto Scionti
Heterogeneous Computing Architectures
Challenges and Vision
E-Book
09/2019
1st Edition
CRC Press
€107.99
Available for download
Persons
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.
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.
Editor
LINKS Foundation Applied Research Center, Italy.
University of Leeds, United Kingdom
Leading Innovation & Knowledge for Society Torino, Italy
Research and Innovation Group Atos, Spain
Content
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