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

Description

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.

Table of Contents

1. Front Matter
2. System Design Space Exploration
   1. Front Matter
   2. Evaluation of Different Processor Architecture Organizations for On-site Electronics in Harsh Environments
   3. CoD: Coherence-on-Demand – Runtime Adaptable Working Set Coherence for DSM-Based Manycore Architectures
   4. RRAMSpec: A Design Space Exploration Framework for High Density Resistive RAM
3. Deep Learning Optimization
   1. Front Matter
   2. Efficient Dynamic Device Placement for Deep Neural Network Training on Heterogeneous Systems
   3. Skipping CNN Convolutions Through Efficient Memoization
   4. Fully Distributed Deep Learning Inference on Resource-Constrained Edge Devices
4. System Security
   1. Front Matter
   2. A Latency-Optimized Hash-Based Digital Signature Accelerator for the Tactile Internet
   3. Fault Sensitivity Analysis of Lattice-Based Post-Quantum Cryptographic Components
5. Multi/Many-core Scheduling
   1. Front Matter
   2. Scalable Optimal Greedy Scheduler for Asymmetric Multi-/Many-Core Processors
   3. Platform-Agnostic Learning-Based Scheduling
6. System Energy and Heat Management
   1. Front Matter
   2. Using Frame Similarity for Low Energy Software-Only IoT Video Recognition
   3. Design and Optimization of an ARM Cortex-M Based SoC for TCP/IP Communication in High Temperature Applications
   4. An Open-Hardware Platform for MPSoC Thermal Modeling
7. Many-core Communication
   1. Front Matter
   2. PIMP My Many-Core: Pipeline-Integrated Message Passing
   3. SHARQ: Software-Defined Hardware-Managed Queues for Tile-Based Manycore Architectures
8. Electronic System-Level Design and Verification
   1. Front Matter
   2. Access Interval Prediction for Tightly Coupled Memory Systems
   3. Experimental Evaluation of Probabilistic Execution-Time Modeling and Analysis Methods for SDF Applications on MPSoCs
   4. Software Passports for Automated Performance Anomaly Detection of Cyber-Physical Systems
   5. Modeling Nested for Loops with Explicit Parallelism in Synchronous DataFlow Graphs
   6. System-Level Modeling and Simulation of MPSoC Run-Time Management Using Execution Traces Analysis
   7. GEMBench: A Platform for Collaborative Development of GPU Accelerated Embedded Markov Decision Systems
9. Special Session: Insights from Negative Results
   1. Front Matter
   2. Hardware Deceleration of Kvazaar HEVC Encoder
   3. On Compact Mappings for Multicore Systems
   4. The CAPH Language, Ten Years After
   5. Comparison of Exponentially Decreasing Vs. Polynomially Decreasing Objective Functions for Making Quantum Circuits Nearest Neighbour Compliant
10. Special Session: Machine Learning Implementations
    1. Front Matter
    2. Transport Triggered Array Processor for Vision Applications
    3. Approximate Similarity Search with FAISS Framework Using FPGAs on the Cloud
    4. Automatic Memory-Efficient Scheduling of CNNs
11. Special Session: European Projects
    1. Front Matter
    2. Low Precision Processing for High Order Stencil Computations
    3. Hardware/Software Self-adaptation in CPS: The CERBERO Project Approach
    4. A Lean, Low Power, Low Latency DRAM Memory Controller for Transprecision Computing
    5. Optimized FPGA Implementation of a Compute-Intensive Oil Reservoir Simulation Algorithm
    6. Accelerating Automotive Analytics: The M2DC Appliance Approach
    7. Predictive Resource Management for Next-Generation High-Performance Computing Heterogeneous Platforms
12. Back Matter

Editors Biography

Dionisios N. Pnevmatikatos
Technical University of Crete and ICS – FORTH, Chania, Greece

Maxime Pelcat
INSA Rennes, Rennes Cedex 7, France

Matthias Jung
Fraunhofer IESE, Kaiserslautern, Germany