Buch, Englisch, 265 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 435 g
24th International Conference, SAMOS 2024, Samos, Greece, June 29 - July 4, 2024, Proceedings, Part I
Buch, Englisch, 265 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 435 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-78376-0
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
.- 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.
