Embedded Computer Systems: Architectures, Modeling, and Simulation [electronic resource] : 23rd International Conference, SAMOS 2023, Samos, Greece, July 2–6, 2023, Proceedings /

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Material type: Text

TextSeries: Lecture Notes in Computer Science ; 14385Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XV, 505 p. 182 illus., 155 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783031460777

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

004.2 23

LOC classification:

QA76.9.S88

Online resources:

Click here to access online

Contents:

Emerging Technologies -- Power Effcient Technologies -- Hardware Accelerators -- Quantum and Optical Computing -- Power Performance Modeling and Simulation -- Open Hardware RISC-V Technologies -- Innovative Architectures and tools for Security -- EU Project with focus on solutions for aerospace and networking -- EU Project with focus on HPC -- Memory-centric Computing: from Application to Circuits -- Poster Sessions.

In: Springer Nature eBookSummary: This book constitutes the proceedings of the 22st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2022 in Samos, Greece. The 11 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. The conference covers a wide range of embedded systems design aspects, including machine learning accelerators, and power management and programmable dataflow systems.

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This book constitutes the proceedings of the 22st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2022 in Samos, Greece. The 11 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. The conference covers a wide range of embedded systems design aspects, including machine learning accelerators, and power management and programmable dataflow systems.

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