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"Introduction to Urban Water Distribution comprises the core training material used in the Master of Science programme in Urban Water and Sanitation at IHE Delft Institute for Water Education. Participants in this programme are professionals working in the water and sanitation sector from over forty, predominantly developing, countries from all parts of the world. Outside this diverse audience, the most appropriate readers are those who know little or nothing about the subject. However, experts dealing with advanced problems can also use it as a refresher of their knowledge, as well as the teachers in this field may like to use some of the contents in their educational programmes. The general focus in the book is on understanding the steady-state hydraulics that forms the basis of hydraulic design and computer modelling applied in water distribution. The main purpose of the workshop problems and three computer exercises is to develop a temporal and spatial perception of the main hydraulic parameters in the system for given layout and demand scenarios. Furthermore, the book contains a detailed discussion on water demand, which is a fundamental element of any network analysis, and general principles of network construction, operation and maintenance. The book includes nearly 700 illustrations and the accompanying electronic materials contain all the spreadsheet applications and the network model files used in solving the workshop problems and computer exercises"--

Municipal water supply. --- Waterworks. --- Eau --- Services d'eau --- Approvisionnement urbain

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This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. The major advantages and applications of this approach are clearly described, and a detailed explanation of the programming model is provided using simple yet effective examples. The work is developed from a series of lecture courses taught by the authors in more than 40 universities across more than 20 countries, and from research carried out by Maxeler Technologies, Inc.  Topics and features: Presents a thorough introduction to DataFlow supercomputing for big data problems Reviews the latest research on the DataFlow architecture and its applications Introduces a new method for the rapid handling of real-world challenges involving large datasets Provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine Includes a step-by-step guide to the web-based integrated development environment WebIDE Draws from the authors’ extensive experience in both academic teaching and industrial research Students, lecturers, and researchers in industry will find this concise book to be an ideal supplementary text for courses and seminars on VLSI, multi-core systems, and DataFlow computing. Dr. Veljko Milutinović is a Professor in the Department of Computer Engineering at the University of Belgrade, Serbia. His publications include the Springer title Application and Multidisciplinary Aspects of Wireless Sensor Networks. Dr. Jakob Salom is a member of the Mathematical Institute of the Serbian Academy of Sciences and Arts. Nemanja Trifunovic is a Project Manager at Maxeler Technologies, Palo Alto, CA, USA. Dr. Roberto Giorgi is an Associate Professor of Computer Engineering at the University of Siena, Italy.

Computer Science. --- Input/Output and Data Communications. --- Data Mining and Knowledge Discovery. --- Software Engineering. --- Computer System Implementation. --- Computer science. --- Data transmission systems. --- Computer network architectures. --- Software engineering. --- Data mining. --- Informatique --- Données --- Réseaux d'ordinateurs --- Génie logiciel --- Exploration de données (Informatique) --- Transmission --- Architectures --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- High performance computing. --- Data flow computing. --- Dataflow computing --- HPC (Computer science) --- Input-output equipment (Computers). --- Architecture, Computer. --- Electronic data processing --- Cyberinfrastructure --- Supercomputers --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Computer software engineering --- Engineering --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data communication systems --- Transmission of data --- Digital communications --- Electronic systems --- Information theory --- Telecommunication systems --- Architecture, Computer --- Computer hardware --- Computer I/O equipment --- Computers --- Electronic analog computers --- Electronic digital computers --- Hardware, Computer --- I/O equipment (Computers) --- Input equipment (Computers) --- Input-output equipment (Computers) --- Output equipment (Computers) --- Computer systems --- Input-output equipment

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This illuminating text/reference reviews the fundamentals of programming for effective DataFlow computing. The DataFlow paradigm enables considerable increases in speed and reductions in power consumption for supercomputing processes, yet the programming model requires a distinctly different approach. The algorithms and examples showcased in this book will help the reader to develop their understanding of the advantages and unique features of this methodology. This work serves as a companion title to DataFlow Supercomputing Essentials: Research, Development and Education, which analyzes the latest research in this area, and the training resources available. Topics and features: Presents an implementation of Neural Networks using the DataFlow paradigm, as an alternative to the traditional ControlFlow approach Discusses a solution to the three-dimensional Poisson equation, using the Fourier method and DataFlow technology Examines how the performance of the Binary Search algorithm can be improved through implementation on a DataFlow architecture Reviews the different way of thinking required to best configure the DataFlow engines for the processing of data in space flowing through the devices Highlights how the DataFlow approach can efficiently support applications in big data analytics, deep learning, and the Internet of Things This indispensable volume will benefit all researchers interested in supercomputing in general, and DataFlow computing in particular. Advanced undergraduate and graduate students involved in courses on Data Mining, Microprocessor Systems, and VLSI Systems, will also find the book to be an invaluable resource.

Computer science. --- Computer system failures. --- Operating systems (Computers). --- Computer engineering. --- Computer Science. --- Operating Systems. --- System Performance and Evaluation. --- Computer Engineering. --- Big Data. --- Data flow computing. --- Supercomputers. --- Dataflow computing --- Electronic data processing --- Electronic digital computers --- High performance computing --- Computer system performance. --- Big data. --- Data sets, Large --- Large data sets --- Data sets --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Operating systems --- Computer failures --- Computer malfunctions --- Computer systems --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Design and construction --- Failures --- Operating systems (Computers)