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Embedded Computer Systems

Architectures, Modeling, and Simulation: 24th International Conference, SAMOS 2024, Samos, Greece,...

Luigi Carro Francesco Regazzoni Christian Pilato

$125.95   $100.80

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English
Springer International Publishing AG
28 January 2025
The two-volume set LNCS 15226 and 15227 constitutes the refereed proceedings of the 24th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2024, held in Samos, Greece, during June 29–July 4, 2024.

The 24 full papers, 10 full papers in 2 special sessions and 4 poster session included in this book were carefully reviewed and selected from 57 submissions. This SAMOS 2024 covers the topics systems themselves - through their applications; architectures; and underlying processors - or methods created to automate their design.
Edited by:   , ,
Imprint:   Springer International Publishing AG
Country of Publication:   Switzerland
Volume:   15226
Dimensions:   Height: 235mm,  Width: 155mm, 
ISBN:   9783031783760
ISBN 10:   303178376X
Series:   Lecture Notes in Computer Science
Pages:   265
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
.- FAA+RTS: Designing Fault-Aware Adaptive Real-Time Systems - From Specification to Execution. .- Experimental Assessment and Biaffine Modeling of the Impact of Ambient Temperature on SoC Power Requirements. .- EPIC-Q : Equivalent-Policy Invariant Comparison enhanced transfer Q learning for run-time SoC performance-power optimization. .- Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. .- It’s all about PR - Smart Benchmarking AI Accelerators using Performance Representatives. .- Travel Time-Based Task Mapping for NoC-Based DNN Accelerator. .- HW-EPOLL: Hardware-Assisted User Space Event Notification for Epoll Syscall. .- SIZALIZER: Multilevel Analysis Framework for Object Size Optimization. .- SafeFloatZone: Identify Safe Domains for Elementary Functions. .- Radar Object Detection on a Vector Processor using Sparse Convolutional Neural Networks. .- Optimizing QAM Demodulation with NEON SIMD and Algorithmic Ap proximation Techniques. .- A Novel Chaining-Based Indirect Addressing Mode in a Vertical Vector Processor. .- AutoSync Framework for expressing Synchronization Intentions in Multi threaded Programs. .- HyRPF: Hybrid RRAM Prototyping on FPGA. .- GLoRia: An Energy-Efficient GPU-RRAM System Stack for Large Neural Networks. .- Evaluating the Impact of Racetrack Memory Misalignment Faults on BNNs Performance. .- NanoSoftController: A Minimal Soft Processor for System State Control in FPGA Systems.

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