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Titlebook: Architecture of Computing Systems; 34th International C Christian Hochberger,Lars Bauer,Thilo Pionteck Conference proceedings 2021 Springer

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發(fā)表于 2025-3-21 20:05:31 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Architecture of Computing Systems
期刊簡稱34th International C
影響因子2023Christian Hochberger,Lars Bauer,Thilo Pionteck
視頻videohttp://file.papertrans.cn/162/161303/161303.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Architecture of Computing Systems; 34th International C Christian Hochberger,Lars Bauer,Thilo Pionteck Conference proceedings 2021 Springer
影響因子.This book constitutes the proceedings of the 34th International Conference on Architecture of Computing Systems, ARCS 2021, held virtually in July 2021...The 12 full papers in this volume were carefully reviewed and selected from 24 submissions. 2 workshop papers (VEFRE) are also included. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from fully integrated, self-powered embedded systems up to high-performance computing systems. It also provides a platform covering newly emerging and cross-cutting topics, such as autonomous and ubiquitous systems, reconfigurable computing and acceleration, neural networks and artificial intelligence. The selected papers cover a variety of topics from the ARCS core domains, including heterogeneous computing, memory optimizations, and organic computing..
Pindex Conference proceedings 2021
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書目名稱Architecture of Computing Systems影響因子(影響力)




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Hugh M. Cartwright,Julie A. Hopkinsry level and generates worst-case timing and memory access profiles. These profiles can then be combined to perform an interference analysis at the task system level, as part of a multi-core Worst-Case Response Time (WCRT) analysis. In this paper we introduce a formal description of the models and a
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This Is How I Feel About Complex Systems,n, and errors in certain critical data can lead to invalid outputs or application crashes. Identification of critical data typically requires annotations in source code. Transparent protection mechanisms attempt to automatically protect applications from critical data errors without programmer inter
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