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Une Troisième Guerre mondiale oppose les membres de l'OTAN à la Russie, un conflit interminable, tactique, technologique et sanglant. Pour gagner du temps en attendant un rassemblement de troupes, le général Levchenko décide d'agir sur le brouillage des transmissions. Les rayonnements solaires, qui influencent la propagation des ondes de surface, pourraient changer l'issue des combats.
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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
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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 architecture. Operating systems --- Information systems --- Computer. Automation --- IoT (Internet of Things) --- big data --- deep learning --- text mining --- informatica --- computerbesturingssystemen --- gegevensanalyse --- OS (operating system)
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1204. Paus Innocentius III roept op tot een nieuwe Kruisvaart, de vierde al. De kruisvaarders zijn vastberaden om door te dringen tot in Egypte om er de heilige plaatsen te heroveren. Maar om daarin te slagen, moeten ze langs Venetië om er de materiële steun van doge Enrico Dandolo te vragen. Ondanks zijn blindheid is die oude man een gehaaid zakenman en een gevaarlijke politicus. En zo botst de kruisvaart al in Europa op een eerste, bloedig obstakel.
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Alberola, Jean-Michel ; Andjelic Galic, Gordana ; Armleder, John ; Arnautovic, Snezana ; Badiola, Txomin ; Bajic, Mrdjan ; Barabash, Ruth ; Berruti, Valerio ; Binder, Erik ; Boggasch, Frauke ; Bosnic, Milan ; Bussmann, Maria ; Cabrita Reis, Pedro ; Calic, Marija ; Cano, Eugenio ; Cantoni, Davide ; Cernicky, Jiri ; Chust Peters, Daniel ; Civera, Victoria ; Coates, Marcus ; Cornet, May ; Djuric, Uros ; Dzafo, Nikola ; Eichhorn, Barbara ; Feriancová, Petra ; Friedl, Peter ; Friedmann, Gloria ; Gontarski, Steven ; Grassino, Paolo ; Gray, Kevin Francis ; Han, Soonja ; Hapaska, Siobhán ; Holcová, Veronika ; Horakova, Dominka ; Irazu, Pello ; Joatton, Marine ; Kim, Heeseok ; Kim, Hyunsoo ; Kim, Oan ; Kimsooja ; Kovacheva, Nina ; Lancaster, Laura ; Langlade, Fabrice ; Lehocká, Denisa ; Leikauf, Andreas ; Levini, Felice ; Löhr, Christiane ; Manon den Uyl, Tessa ; Mattii, Maria Carla ; McCaslin, Matthew ; Mezzaqui, Sabrina ; Millicevic, Milica ; Mizrachi, Motti ; Moizer, Zsuzsa ; Németh, Hajnal ; Noh, Sang-Kyoon ; Nolan, Isabel ; Palla, Ursula ; Paris, Marina ; Perez Simao, Marina ; Petrovic, Ivan ; Pétrovitch, Françoise ; Poljak, Renata ; Popovic, Zoran ; Prego, Sergio ; Prodanovic, Mileta ; Rajkovic, Hana ; Revesz, Laszlo Laszlo ; Rubiku, Anila ; Savini, Maurizio ; Seric, Nebojsa Soba ; Skart ; Stefanoff, Valentin ; Stojanovic, Marko ; Sung-Myung Chun ; Szépfalvi, Agnes ; Toguo, Barthélémy ; Vásquez de la Horra, Sandra ; Vedovamazzei ; Vidor, Vuk ; Vincourova, Katerina ; Weinberger, Lois & Franziska ; XYZ ; Yang, Haegue ; Yee, Sookyung ; Yoo, Hye-Sook ; Zuffi, Italo ; Zupanc, Ivan
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