Embedded Computer Systems: Architectures, Modeling, and Simulation: 19th International Conference, SAMOS 2019, Samos, Greece, July 7–11, 2019, Proceedings

Author:   Dionisios N. Pnevmatikatos ,  Maxime Pelcat ,  Matthias Jung
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11733
ISBN:  

9783030275617


Pages:   486
Publication Date:   08 August 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Embedded Computer Systems: Architectures, Modeling, and Simulation: 19th International Conference, SAMOS 2019, Samos, Greece, July 7–11, 2019, Proceedings


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Overview

This book constitutes the refereed proceedings of the 19th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2019, held in Pythagorion, Samos, Greece, in July 2019. The 21 regular papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on system design space exploration; deep learning optimization; system security; multi/many-core scheduling; system energy and heat management; many-core communication; and electronic system-level design and verification. In addition there are 13 papers from three special sessions which were organized on topics of current interest: insights from negative results; machine learning implementations; and European projects.

Full Product Details

Author:   Dionisios N. Pnevmatikatos ,  Maxime Pelcat ,  Matthias Jung
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11733
Weight:   0.765kg
ISBN:  

9783030275617


ISBN 10:   3030275612
Pages:   486
Publication Date:   08 August 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

System design space exploration.- Deep learning optimization.- System security.- Multi/many-core scheduling.- System energy and heat management.- Many-core communication.- Electronic system-level design and verification.

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