architecture energy efficiency (13 Ergebnisse)

XVI, 189 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Science, Technology & Innovation. IEREK Interdisciplinary Series for Sustainable Development. Sprache: Englisch.

Paperback. Zustand: Brand New. 01 edition. 354 pages. 9.69x7.44x0.84 inches. In Stock.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This work presents an approach for the architecture analysis of energy efficiency for static and self-adaptive software systems. It introduces a modeling language that captures consumption characteristics on an architectural level. The outlined analysis predicts the energy efficiency of systems described with this language. Lastly, this work introduces an approach for considering transient effects in design time architecture analyses.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 320 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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Paperback. Zustand: Brand New. 398 pages. 8.31x5.91x1.10 inches. In Stock.

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited volume consists of three parts. It is a culmination of selected research papers presented at the second version of the international conference on Improving Sustainability Concept in Developing Countries (ISCDC) and the second version of the international conference on Alternative and Renewable Energy Quest in Architecture and Urbanism (AREQ), organized by IEREK in Egypt, 2017. It discusses major environmental issues and challenges which threaten our future. These include climate change impact, environmental deterioration, increasing demand for energy and new approaches for alternative renewable energy sources which became a necessity for survival. In addition to addressing the different environmental issues witnessed today, research presented in this book stressed on the need of sustainably shaping buildings and cities using renewable energy sources. Topics included in this book are (1) Resilience in the Built Environment, (2) Design for energy-efficient architecture and (3) Alternative and Renewable Energy Resources Quest in Architecture and Urbanism. The book is of interest to researchers and academicians who continuously aim to update their knowledge in these fields, as well as decision makers needing the enough knowledge to carry out the right decisions towards the benefit of the environment and society.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural network (NN) algorithms are driving the rapid development of modern artificial intelligence (AI). The energy-efficient NN processor has become an urgent requirement for the practical NN applications on widespread low-power AI devices. To address this challenge,this dissertation investigates pure-digital and digital computing-in-memory (digital-CIM) solutions and carries out four major studies.For pure-digital NN processors, this book analyses the insufficient data reuse in conventional architectures and proposes a kernel-optimized NN processor. This dissertation adopts a structural frequency-domain compression algorithm, named CirCNN. The fabricated processor shows 8.1x/4.2x area/energy efficiency compared to the state-of-the-art NN processor. For digital-CIM NN processors, this dissertation combines the flexibility of digital circuits with the high energy efficiency of CIM. The fabricated CIM processor validates the sparsity improvement of the CIM architecture for the first time. This dissertation further designs a processor that considers the weight updating problem on the CIM architecture for the first time.This dissertation demonstrates that the combination of digital and CIM circuits is a promising technical route for an energy-efficient NN processor, which can promote the large-scale application of low-power AI devices.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural network (NN) algorithms are driving the rapid development of modern artificial intelligence (AI). The energy-efficient NN processor has become an urgent requirement for the practical NN applications on widespread low-power AI devices. To address this challenge,this dissertation investigates pure-digital and digital computing-in-memory (digital-CIM) solutions and carries out four major studies.For pure-digital NN processors, this book analyses the insufficient data reuse in conventional architectures and proposes a kernel-optimized NN processor. This dissertation adopts a structural frequency-domain compression algorithm, named CirCNN. The fabricated processor shows 8.1x/4.2x area/energy efficiency compared to the state-of-the-art NN processor. For digital-CIM NN processors, this dissertation combines the flexibility of digital circuits with the high energy efficiency of CIM. The fabricated CIM processor validates the sparsity improvement of the CIM architecture for the first time. This dissertation further designs a processor that considers the weight updating problem on the CIM architecture for the first time.This dissertation demonstrates that the combination of digital and CIM circuits is a promising technical route for an energy-efficient NN processor, which can promote the large-scale application of low-power AI devices.

Quer-Gr.8°, 224 S., farb. Abb., 1 CD-ROM, Spiralheftung., Tadellos. Intensive Programme 2011/ 2012. International Workshop in Dessau. Mit zahlreichen Abbildungen und graphischen Darstellungen.Erste Ausgabe. Der Workshop fand statt in Kooperation mit Politecnico di Milano, Milano; - Eesti Kunstiakadeemia, Tallinn; - Katholieke Universiteit, Leuven; - Fachhochschule Frankfurt am Main. Der Band versammelt zahlreiche Aufsätze und detailreiche Untersuchungen zu Energieeinsparung, Renovierung und Restaurierung nicht nur in Dessau und Törten.Text: engl. 1600 gr. Schlagworte: Bauhaus.