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Embedded Computer Systems: Architectures, Modeling, and Simulation: 22nd International Conference, Samos 2022, Samos, Greece, July 3-7, 2022, Proceedi

Embedded Computer Systems: Architectures, Modeling, and Simulation: 22nd International Conference, Samos 2022, Samos, Greece, July 3-7, 2022, Proceedi (Paperback, 2022)

융 (Matthias Jung), Alex Orailoglu, Marc Reichenbach (엮은이)
Springer
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Embedded Computer Systems: Architectures, Modeling, and Simulation: 22nd International Conference, Samos 2022, Samos, Greece, July 3-7, 2022, Proceedi
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책 정보

· 제목 : Embedded Computer Systems: Architectures, Modeling, and Simulation: 22nd International Conference, Samos 2022, Samos, Greece, July 3-7, 2022, Proceedi (Paperback, 2022) 
· 분류 : 외국도서 > 컴퓨터 > 정보통신기술(IT)
· ISBN : 9783031150739
· 쪽수 : 436쪽
· 출판일 : 2022-08-14

목차

High Level Synthesis.- High-Level Synthesis of Digital Circuits from Template Haskell and SDF-AP 1 H. H. .- Implementing Synthetic Aperture Radar Backprojection in Chisel ? A Field Report.- EasyHBM: Simple and Fast HBM Access for FPGAs using High-Level Synthesis.- Memory Systems.- TREAM: A Tool for Evaluating Error Resilience of Tree-based Models using Approximate Memory.- Split’n’Cover: ISO 26262 Hardware Safety Analysis with SystemC.- Tagged Geometric History Length Access Interval Prediction for Tightly Coupled Memory Systems.- Processor Architecture.- NanoController: A Minimal and Flexible Processor Architecture for UltraLow-Power.- ControlPULP: A RISC-V Power Controller for HPC Processors with Parallel Control-Law Computation Acceleration.- Embedded Software Systems and beyond.- CASA: An Approach for exposing and documenting Concurrency-related Software Properties.- High-Level Simulation of Embedded Software Vulnerabilities to EM SideChannel Attacks.- Deep Learning Optimization I.- A Design Space Exploration Methodology for Enabling Tensor Train Decomposition in Edge Devices.- Study of DNN-based Ragweed Detection from Drones.- PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-Core MCUs through Performance-Driven Autotuning.- Extra-functional Property Estimation.- The Impact of Dynamic Storage Allocation on CPython Execution Time, Memory Footprint and Energy Consumption: An Empirical Study.- Application runtime estimation for AURIX embedded MCU using deep learning.- A Hybrid Performance Prediction Approach for Fully-Connected Artificial Neural Networks on Multi-Core Platforms.- Deep Learning Optimization I.- A Smart HW-Accelerator for Non-Uniform Linear Interpolation of MLActivation Functions.- Hardware-Aware Evolutionary Filter Pruning.- Innovative Architectures and tools for Security.- Obfuscating the Hierarchy of a Digital IP.- On the effectiveness of true random number generators implemented on FPGAs.- Power and Energy.- SIDAM: A Design Space Exploration Framework for Multi-Sensor Embedded Systems Powered by Energy Harvesting.- A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms.

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