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Link to original content: https://doi.org/10.1007/978-3-031-15074-6
Embedded Computer Systems: Architectures, Modeling, and Simulation: 22nd International Conference, SAMOS 2022, Samos, Greece, July 3–7, 2022, Proceedings | SpringerLink
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Embedded Computer Systems: Architectures, Modeling, and Simulation

22nd International Conference, SAMOS 2022, Samos, Greece, July 3–7, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Alex Orailoglu

    1. University of California, La Jolla, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Marc Reichenbach

    1. BTU-Cottbus Senftenberg, Cottbus, Germany

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    You can also search for this editor in PubMed   Google Scholar

  3. Matthias Jung

    1. Fraunhofer IESE, Kaiserslautern, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13511)

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Conference proceedings info: SAMOS 2022.

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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 21 full papers presented in this volume were carefully reviewed and selected from 44 submissions. The papers are organized in topics as follows: High level synthesis; memory systems; processor architecture; embedded software systems and beyond; deep learning optimization; extra-functional property estimation; innovative architectures and tools for security; european research projects on digital systems, services, and platforms.

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Table of contents (28 papers)

  1. Front Matter

    Pages i-xiv
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  2. High Level Synthesis

    1. Front Matter

      Pages 1-1
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    2. High-Level Synthesis of Digital Circuits from Template Haskell and SDF-AP

      • H. H. Folmer, R. de Groote, M. J. G. Bekooij
      Pages 3-27

    3. Implementing Synthetic Aperture Radar Backprojection in Chisel – A Field Report

      • Niklas Rother, Christian Fahnemann, Holger Blume
      Pages 28-42

    4. EasyHBM: Simple and Fast HBM Access for FPGAs Using High-Level-Synthesis

      • Lars Schwenger, Philipp Holzinger, Dietmar Fey, Hector Gerardo Munoz Hernandez, Marc Reichenbach
      Pages 43-57

  3. Memory Systems

    1. Front Matter

      Pages 59-59
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    2. TREAM: A Tool for Evaluating Error Resilience of Tree-Based Models Using Approximate Memory

      • Mikail Yayla, Zahra Valipour Dehnoo, Mojtaba Masoudinejad, Jian-Jia Chen
      Pages 61-73

    3. Split’n’Cover: ISO 26262 Hardware Safety Analysis with SystemC

      • Denis Uecker, Matthias Jung
      Pages 74-89

    4. Tagged Geometric History Length Access Interval Prediction for Tightly Coupled Memory Systems

      • Viktor Razilov, Robert Wittig, Emil Matúš, Gerhard Fettweis
      Pages 90-100

  4. Processor Architecture

    1. Front Matter

      Pages 101-101
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    2. NanoController: A Minimal and Flexible Processor Architecture for Ultra-Low-Power Always-On System State Controllers

      • Moritz Weißbrich, Guillermo Payá-Vayá
      Pages 103-119

    3. ControlPULP: A RISC-V Power Controller for HPC Processors with Parallel Control-Law Computation Acceleration

      • Alessandro Ottaviano, Robert Balas, Giovanni Bambini, Corrado Bonfanti, Simone Benatti, Davide Rossi et al.
      Pages 120-135

  5. Embedded Software Systems and Beyond

    1. Front Matter

      Pages 137-137
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    2. CASA: An Approach for Exposing and Documenting Concurrency-Related Software Properties

      • Jasmin Jahić, Volkan Doganci, Hubert Gehring
      Pages 139-154

    3. High-Level Simulation of Embedded Software Vulnerabilities to EM Side-Channel Attacks

      • Aditya Thimmaiah, Vishnuvardhan V. Iyer, Andreas Gerstlauer, Michael Orshansky
      Pages 155-170

  6. Deep Learning Optimization I

    1. Front Matter

      Pages 171-171
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    2. A Design Space Exploration Methodology for Enabling Tensor Train Decomposition in Edge Devices

      • Milad Kokhazadeh, Georgios Keramidas, Vasilios Kelefouras, Iakovos Stamoulis
      Pages 173-186

    3. Study of DNN-Based Ragweed Detection from Drones

      • Martin Lechner, Lukas Steindl, Axel Jantsch
      Pages 187-199

    4. PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning

      • Davide Nadalini, Manuele Rusci, Giuseppe Tagliavini, Leonardo Ravaglia, Luca Benini, Francesco Conti
      Pages 200-216

  7. Extra-Functional Property Estimation

    1. Front Matter

      Pages 217-217
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Other volumes

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

Editors and Affiliations

  • University of California, La Jolla, USA

    Alex Orailoglu

  • BTU-Cottbus Senftenberg, Cottbus, Germany

    Marc Reichenbach

  • Fraunhofer IESE, Kaiserslautern, Germany

    Matthias Jung

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