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Titlebook: Embedded Computer Systems: Architectures, Modeling, and Simulation; 19th International C Dionisios N. Pnevmatikatos,Maxime Pelcat,Matthias

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書目名稱Embedded Computer Systems: Architectures, Modeling, and Simulation
副標題19th International C
編輯Dionisios N. Pnevmatikatos,Maxime Pelcat,Matthias
視頻videohttp://file.papertrans.cn/308/307889/307889.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Embedded Computer Systems: Architectures, Modeling, and Simulation; 19th International C Dionisios N. Pnevmatikatos,Maxime Pelcat,Matthias
描述.This book constitutes the refereed proceedings of the 19th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2019, held in Pythagorion, Samos, Greece, in July 2019..The 21 regular papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on system design space exploration; deep learning optimization; system security; multi/many-core scheduling; system energy and heat management; many-core communication; and electronic system-level design and verification.?In addition there are 13 papers from three special sessions which were organized on topics of current interest: insights from negative results; machine learning implementations; and European projects..
出版日期Conference proceedings 2019
關(guān)鍵詞embedded reconfigurable processors; architecture synthesis from functional languages descriptions; emb
版次1
doihttps://doi.org/10.1007/978-3-030-27562-4
isbn_softcover978-3-030-27561-7
isbn_ebook978-3-030-27562-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Efficient Dynamic Device Placement for Deep Neural Network Training on Heterogeneous SystemsN model often requires very intensive computational resources. For edge incremental learning, more energy efficient learning solutions are called for. Heterogeneous computing is more power efficient, and has been increasingly popular for embedded platforms. Therefore, how to deploy training models o
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A Latency-Optimized Hash-Based Digital Signature Accelerator for the Tactile Internety and security. Security comprises encryption and data authentication. Digital signatures enable the latter. With the rise of quantum computers, most currently employed digital signature schemes will become unsecure. One promising post-quantum secure algorithm is the eXtended Merkle Signature Scheme
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Fault Sensitivity Analysis of Lattice-Based Post-Quantum Cryptographic ComponentsShor’s algorithm is expected in the near-to-medium future. Lattice-based PQC algorithms are among the most promising candidates discussed today, due to their performance and versatility. In this paper, we demonstrate fault sensitivity analysis (FSA) of circuit blocks used in lattice-based cryptograp
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Scalable Optimal Greedy Scheduler for Asymmetric Multi-/Many-Core Processorsng asymmetric many-core processors are expected to combine hundreds of cores belonging to different types. However, the accompanying task-to-core mapping schedules are the key to achieving the full potential of such processors. Run-time scheduling on asymmetric processors is a much harder problem to
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Platform-Agnostic Learning-Based Schedulingogeneous-ISA architectures with cores implementing different ISAs. As diversity of execution cores grows, predictive models become of paramount importance for scheduling and resource allocation. In this paper, we investigate the capabilities of performance predictors in a heterogeneous-ISA setting,
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