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Embedded Computer Systems: Architectures, Modeling, and Simulation

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Cover of 'Embedded Computer Systems: Architectures, Modeling, and Simulation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Fast Performance Estimation and Design Space Exploration of SSD Using AI Techniques
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    Chapter 2 Combining Task- and Data-Level Parallelism for High-Throughput CNN Inference on Embedded CPUs-GPUs MPSoCs
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    Chapter 3 AMAIX: A Generic Analytical Model for Deep Learning Accelerators
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    Chapter 4 Data Mining in System-Level Design Space Exploration of Embedded Systems
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    Chapter 5 CoPTA: Contiguous Pattern Speculating TLB Architecture
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    Chapter 6 A Fine-Granularity Image Pyramid Accelerator for Embedded Processors
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    Chapter 7 Rec2Poly: Converting Recursions to Polyhedral Optimized Loops Using an Inspector-Executor Strategy
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    Chapter 8 DRAMSys4.0: A Fast and Cycle-Accurate SystemC/TLM-Based DRAM Simulator
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    Chapter 9 Transpiling Python to Rust for Optimized Performance
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    Chapter 10 A Fast Heuristic to Pipeline SDF Graphs
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    Chapter 11 System Simulation of Memristor Based Computation in Memory Platforms
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    Chapter 12 Compiler Optimizations for Safe Insertion of Checkpoints in Intermittently Powered Systems
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    Chapter 13 Fine-Grained Power Modeling of Multicore Processors Using FFNNs
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    Chapter 14 From High-Level Synthesis to Bundled-Data Circuits
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    Chapter 15 Energy-Aware Partial-Duplication Task Mapping Under Real-Time and Reliability Constraints
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    Chapter 16 A Quantitative Study of Locality in GPU Caches
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    Chapter 17 CHASM: Security Evaluation of Cache Mapping Schemes
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    Chapter 18 DeePar-SCA: Breaking Parallel Architectures of Lattice Cryptography via Learning Based Side-Channel Attacks
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    Chapter 19 Profiling Dilithium Digital Signature Traces for Correlation Differential Side Channel Attacks
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    Chapter 20 S-NET: A Confusion Based Countermeasure Against Power Attacks for SBOX
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    Chapter 21 Risk and Architecture Factors in Digital Exposure Notification
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    Chapter 23 VGM-Bench: FPU Benchmark Suite for Computer Vision, Computer Graphics and Machine Learning Applications
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    Chapter 24 Decision Support Systems to Promote Health and Well-Being of People During Their Working Age: The Case of the WorkingAge EU Project
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    Chapter 25 Technical Debt Management and Energy Consumption Evaluation in Implantable Medical Devices: The SDK4ED Approach
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    Chapter 26 Distributed Training on a Highly Heterogeneous HPC System
Attention for Chapter 24: Decision Support Systems to Promote Health and Well-Being of People During Their Working Age: The Case of the WorkingAge EU Project
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Chapter title
Decision Support Systems to Promote Health and Well-Being of People During Their Working Age: The Case of the WorkingAge EU Project
Chapter number 24
Book title
Embedded Computer Systems: Architectures, Modeling, and Simulation
Published by
Springer, Cham, July 2020
DOI 10.1007/978-3-030-60939-9_24
Book ISBNs
978-3-03-060938-2, 978-3-03-060939-9
Authors

Rosa Maria Resende de Almeida, Adriana Grau Aberturas, Yolanda Bueno Aguado, Maurizio Atzori, Alessandro Barenghi, Gianluca Borghini, Carlos Alberto Catalina Ortega, Sara Comai, Raquel Losada Durán, Mariagrazia Fugini, Hatice Gunes, Basam Musleh Lancis, Gerardo Pelosi, Vincenzo Ronca, Licia Sbattella, Roberto Tedesco, Tian Xu, Resende de Almeida, Rosa Maria, Grau Aberturas, Adriana, Bueno Aguado, Yolanda, Atzori, Maurizio, Barenghi, Alessandro, Borghini, Gianluca, Catalina Ortega, Carlos Alberto, Comai, Sara, Losada Durán, Raquel, Fugini, Mariagrazia, Gunes, Hatice, Musleh Lancis, Basam, Pelosi, Gerardo, Ronca, Vincenzo, Sbattella, Licia, Tedesco, Roberto, Xu, Tian

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 17%
Student > Ph. D. Student 2 17%
Professor > Associate Professor 2 17%
Researcher 2 17%
Professor 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Computer Science 6 50%
Business, Management and Accounting 1 8%
Neuroscience 1 8%
Engineering 1 8%
Unknown 3 25%