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Embedded Computer Systems: Architectures, Modeling, and Simulation de Francesco Regazzoni

Embedded Computer Systems: Architectures, Modeling, and Simulation: Lecture Notes in Computer Science

Editat de Francesco Regazzoni, Ioannis Sourdis, Jarmo Takala
en Limba Engleză Paperback – 3 aug 2026

This volume constitutes the proceedings of 25th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2025, in Samos, Greece, during June 28–July 3, 2025.

The 18 full papers, 12 short papers and 2 special session papers were included in this book were carefully reviewed and selected from 63 submissions. This conference orgamised in the follwing topcial sections as follows as Simulation, Emulation, and Design Space Exploration; Security; Tools and Frameworks; Reliable and Real-Time Systems; High Performance and Time Predictable Architectures; Application and Acceleration.

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Specificații

ISBN-13: 9783032285393
ISBN-10: 3032285399
Pagini: 434
Dimensiuni: 155 x 235 mm
Editura: Springer Nature Switzerland AG
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Cuprins

.- Simulation, Emulation, and Design Space Exploration.

.- Bridging the Gap: Physical PCI Device Integration Into SystemC-TLM Virtual Platforms.

.- Optimizing Binary and Ternary Neural Network Inference on RRAM Cross bars using CIM-Explorer.

.- qGAMMA: A Framework for Optimal DNN Mapping on Multi-Precision Accelerators.

.- Leveraging SystemC-TLM-based Virtual Prototypes for Embedded Soft ware Fuzzing.

.- HMOD: A CPU Simulator Based on an Agile Simulation Methodology.

.- Generation of a QEMU Based Instruction Set Simulator from a Processor Description in OpenVADL.

.- Security.

.- Prototyping Custom Hardware Performance Counters in gem5 Simulator: A Framework for RISC-V Side-Channel Attack Assessment.

.- Quantifying Overheads for Secure Remote Configuration of eFPGA-augmented SoCs.

.- RISC-V based Vectorization of Classic McEliece Key Generation.

.- Tools and Frameworks.

.- LearnCNM2Predict: Transfer Learning-based Performance Model for CNM Systems.

.- Beyond the Shadows: A Deep Dive into Profiling Modern Mixed-Modal and Multi-Modal Transformer Models.

.- Modular and Composable Framework for Multipurpose Monitoring in Heterogeneous FPGA-Based Systems.

.- A High-Level Compiler Integration Approach for Deep Learning Accelerators Supporting Abstraction and Optimization.

.- SW Generation for Embedded Systems with Low-Cost LLMs: A Multi Agent Approach.

.- ARISE: Automating RISC-V Instruction Set Extension.

.- Reliable and Real-Time Systems.

.- The HOT-RISC-V: A High-Operating-Temperature RISC-V Architecture for Extreme Conditions.

.- Evaluating Microarchitectural Hardware Fault Detection for Application Specific Requirements.

.- AnTi-MiCS: Analytical Framework for Bounding Time in Embedded Mixed Criticality Systems .

.- High Performance and Time Predictable Architectures.

.- GEYSER: A Design Generation Framework for Automated Large-Scale Accelerator Integration.

.- Shavette: Safe Undervolting of Neural Network Accelerators via Algorithm level Error Detection.

.- A Time-Predictable GPU Core for Real-Time Systems.

.- HLS4PC: A Parametrizable Framework For Accelerating Point-Based 3D Point Cloud Models on FPGA.

.- Hybrid unary-binary design for multiplier-less printed Machine Learning classifiers.

.- MT-TMVP: Modular Tiled TMVP-based Polynomial Multiplication for Post-Quantum Cryptography on FPGA s.

.- Deterministic Allocation and Scheduling for Buffered Exposed Datapath Architectures.

.- Exploiting temporal parallelism for LSTM Autoencoder acceleration on FPGA.

.- Exploring a Vector Processor Configuration Space for AI Workloads.

.- Application and Acceleration.

.- FlexiSAGA: A Flexible Systolic Array GEMM Accelerator for Sparse and Dense Processing.

.- SALSA: Sorting Acceleration Leveraging Smart Non-comparative Algorithms.

.- Mapping Virtual Brain Twins onto GroqChip.

.- Multipartner Research Projects.

.- TRISTAN & ISOLDE Chips-JU RISC-V Projects.

.- The EuroCCGreece HPC Competence Center.

.- Advanced Software Techniques for Resilience Against Error Upsets in Space.

.- Vitamin-V: Serverless Cloud Software Porting Progress.

.- The NEPHELE Meta-Orchestration Approach for Distributed Applications in the Computing Continuum.

.- REFMAP: From HPC to High Fidelity CFD Simulations to Optimized Flow Prediction Models for Next-Gen Urban Airspace Mobility.

.- AgRibot: Mutli-Cloud Computing Architecture for Smart and Sustainable Agriculture.

.- LLMs at the Edge: Hype or Hope?.

.- LLMs at the Edge: Hype or Hope?.

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