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Embedded Computer Systems: Architectures, Modeling, and Simulation

23rd International Conference, SAMOS 2023, Samos, Greece, July 2–6, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Cristina Silvano

    1. Politecnico di Milano, Milan, Italy

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  2. Christian Pilato

    1. Politecnico di Milano, Milan, Italy

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  3. Marc Reichenbach

    1. University of Rostock, Rostock, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14385)

Included in the following conference series:

Conference proceedings info: SAMOS 2023.

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Table of contents (36 papers)

  1. Front Matter

    Pages i-xv
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  2. Emerging Technologies

    1. Front Matter

      Pages 1-1
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    2. Efficient Handover Mode Synchronization for NR-REDCAP on a Vector DSP

      • Sheikh Faizan Qureshi, Stefan Damjancevic, Emil Matus, Dmitry Utyansky, Pieter van der Wolf, Gerhard Fettweis
      Pages 3-18

    3. Fault Detection Mechanisms for COTS FPGA Systems Used in Low Earth Orbit

      • Tim Oberschulte, Jakob Marten, Holger Blume
      Pages 19-32

    4. NTHPC: Embracing Near-Threshold Operation for High Performance Multi-core Systems

      • Shounak Chakraborty, Mehdi Safarpour, Olli Silvén
      Pages 33-42

  3. Power Efficient Technologies

    1. Front Matter

      Pages 43-43
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    2. Closing the Capacity Gap: A Transforming Technique for ReRAM-Friendly NNs

      • Rafael Fão de Moura, Luigi Carro
      Pages 45-56

    3. Myrmec: FPGA-Accelerated SmartNIC for Cost and Power Efficient IoT Sensor Networks

      • Jeffrey Chen, Sang-Woo Jun
      Pages 57-71

    4. Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs

      • Dolly Sapra, Andy D. Pimentel
      Pages 72-87

  4. Hardware Accelerators

    1. Front Matter

      Pages 89-89
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    2. Characterization of a Coherent Hardware Accelerator Framework for SoCs

      • Guillem López-Paradís, Balaji Venu, Adriá Armejach, Miquel Moretó
      Pages 91-106

    3. DAEBI: A Tool for Data Flow and Architecture Explorations of Binary Neural Network Accelerators

      • Mikail Yayla, Cecilia Latotzke, Robert Huber, Somar Iskif, Tobias Gemmeke, Jian-Jia Chen
      Pages 107-122

    4. An Intelligent Image Processing System for Enhancing Blood Vessel Segmentation on Low-Power SoC

      • Majed Alsharari, Son T. Mai, Romain Garnier, Carlos Reaño, Roger Woods
      Pages 123-138

  5. Quantum and Optical Computing

    1. Front Matter

      Pages 139-139
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    2. Micro-architecture and Control Electronics Simulation of Modular Color Center-Based Quantum Computers

      • Folkert de Ronde, Matti Dreef, Stephan Wong, David Elkouss
      Pages 141-157

    3. From Algorithm to Implementation: Enabling High-Throughput CNN-Based Equalization on FPGA for Optical Communications

      • Jonas Ney, Christoph Füllner, Vincent Lauinger, Laurent Schmalen, Sebastian Randel, Norbert Wehn
      Pages 158-173

  6. Power Performance Modeling and Simulation

    1. Front Matter

      Pages 175-175
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    2. parti-gem5: gem5’s Timing Mode Parallelised

      • José Cubero-Cascante, Niko Zurstraßen, Jörn Nöller, Rainer Leupers, Jan Moritz Joseph
      Pages 177-192

    3. Reliable Basic Block Energy Accounting

      • Christos P. Lamprakos, Dimitrios S. Bouras, Francky Catthoor, Dimitrios Soudris
      Pages 193-208

    4. RattlesnakeJake: A Fast and Accurate Pre-alignment Filter Suitable for Computation-in-Memory

      • Taha Shahroodi, Michael Miao, Mahdi Zahedi, Stephan Wong, Said Hamdioui
      Pages 209-221
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Other volumes

  1. Embedded Computer Systems: Architectures, Modeling, and Simulation

Keywords

About this book

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.

Editors and Affiliations

  • Politecnico di Milano, Milan, Italy

    Cristina Silvano, Christian Pilato

  • University of Rostock, Rostock, Germany

    Marc Reichenbach

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