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Book
A journey of embedded and cyber-physical systems : essays dedicated to Peter Marwedel on the occasion of his 70th birthday
Authors: --- ---
ISBN: 3030474879 3030474860 Year: 2021 Publisher: Springer Nature

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Abstract

This Open Access book celebrates Professor Peter Marwedel's outstanding achievements in compilers, embedded systems, and cyber-physical systems. The contributions in the book summarize the content of invited lectures given at the workshop “Embedded Systems” held at the Technical University Dortmund in early July 2019 in honor of Professor Marwedel's seventieth birthday. Provides a comprehensive view from leading researchers with respect to the past, present, and future of the design of embedded and cyber-physical systems; Discusses challenges and (potential) solutions from theoreticians and practitioners on modeling, design, analysis, and optimization for embedded and cyber-physical systems; Includes coverage of model verification, communication, software runtime systems, operating systems and real-time computing.


Book
Proceedings of the 20th ACM SIGPLAN/SIGBED international conference on languages, compilers, and tools for embedded systems
Authors: ---
Year: 2019 Publisher: New York, New York : Association for Computing Machinery,

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Book
A Journey of Embedded and Cyber-Physical Systems
Authors: ---
ISBN: 9783030474874 9783030474881 9783030474898 9783030474867 Year: 2021 Publisher: Cham Springer International Publishing :Imprint: Springer

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Book
Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores
Authors: --- --- ---
ISBN: 3319774794 3319774786 Year: 2018 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while another part focuses on minimizing energy consumption under performance (or real-time) constraints. Provides a comprehensive introduction to energy, power, and temperature management, highlighting the different optimization goals, particularly computational performance, power and energy consumption, and temperature; Highlights the differences and similarities between the two key challenges of performance optimization under power or thermal constraints and energy minimization under performance constraints; Discusses in detail several means that can be used to optimize performance or energy while satisfying the desired constraints, including core heterogeneity, task-to-core assignment/mapping, dynamic power management (DPM), and dynamic voltage and frequency scaling (DVFS).


Digital
Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores
Authors: --- --- ---
ISBN: 9783319774794 Year: 2018 Publisher: Cham Springer International Publishing

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Abstract

This book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while another part focuses on minimizing energy consumption under performance (or real-time) constraints. Provides a comprehensive introduction to energy, power, and temperature management, highlighting the different optimization goals, particularly computational performance, power and energy consumption, and temperature; Highlights the differences and similarities between the two key challenges of performance optimization under power or thermal constraints and energy minimization under performance constraints; Discusses in detail several means that can be used to optimize performance or energy while satisfying the desired constraints, including core heterogeneity, task-to-core assignment/mapping, dynamic power management (DPM), and dynamic voltage and frequency scaling (DVFS).


Book
Similarity Search and Applications
Authors: --- --- --- --- --- et al.
ISBN: 9783030896577 9783030896584 9783030896560 Year: 2021 Publisher: Cham Springer International Publishing :Imprint: Springer


Multi
Similarity Search and Applications
Authors: --- --- --- --- --- et al.
ISBN: 9783030896577 9783030896584 9783030896560 Year: 2021 Publisher: Cham Springer International Publishing :Imprint: Springer

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This book constitutes the refereed proceedings of the 14th International Conference on Similarity Search and Applications, SISAP 2021, held in Dortmund, Germany, in September/October 2021. The conference was held virtually due to the COVID-19 pandemic. The 23 full papers presented together with 5 short and 3 doctoral symposium papers were carefully reviewed and selected from 50 submissions. The papers are organized in the topical sections named: Similarity Search and Retrieval; Intrinsic Dimensionality; Clustering and Classification; Applications of Similarity Search; Similarity Search in Graph-Structured Data; Doctoral Symposium.


Book
Machine learning under resource constraints.
Authors: --- --- --- --- --- et al.
ISBN: 3110785943 9783110785944 9783110786125 3110785935 9783110785937 Year: 2023 Publisher: Berlin ; Boston : De Gruyter,

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"Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to the different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Several machine learning methods are inspected with respect to their resource requirements and how to enhance their scalability on diverse computing architectures ranging from embedded systems to large computing clusters. Ranges from embedded systems to large computing clusters. Provides application of the methods in various domains of science and engineering."--Provided by publisher.

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