Embedded Computer Systems: Architectures, Modeling, and Simulation : 24th International Conference, SAMOS 2024, Samos, Greece, June 29 - July 4, 2024, Proceedings, Part I (Lecture Notes in Computer Science)

Embedded Computer Systems: Architectures, Modeling, and Simulation : 24th International Conference, SAMOS 2024, Samos, Greece, June 29 - July 4, 2024, Proceedings, Part I (Lecture Notes in Computer Science)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 265 p.
  • 言語 ENG
  • 商品コード 9783031783760

Full Description

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.

Contents

.- 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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