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Acceleration Biomedical Image Processing by Grüll Frederik (25 results)
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Acceleration of Biomedical Image Processing With Dataflow on Fpgas
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Acceleration of Biomedical Image Processing With Dataflow on Fpgas
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Condition: New. pp. 150.
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Acceleration of Biomedical Image Processing with Dataflow on FPGAs (River Publishers Series in Information Science and Technology)
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Acceleration of Biomedical Image Processing With Dataflow on Fpgas
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Add to basketHardcover. Condition: Brand New. 230 pages. 9.25x6.13x0.80 inches. In Stock.
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Acceleration of Biomedical Image Processing With Dataflow on Fpgas
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Acceleration of Biomedical Image Processing with Dataflow on FPGAs
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Add to basketHardcover. Condition: Brand New. 230 pages. 9.25x6.13x0.80 inches. In Stock. This item is printed on demand.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Frederik Gruell, Udo KebschullShort compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and improved imaging techniques. In this book reconfigurable computing with FPGAs i.
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Buch. Condition: Neu. Acceleration of Biomedical Image Processing with Dataflow on FPGAs | Frederik Grüll (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2016 | River Publishers | EAN 9788793379367 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and improved imaging techniques. In this book reconfigurable computing with FPGAs is discussed as an alternative to multi-core processing and graphics card accelerators. Instead of adjusting the application to the hardware, FPGAs allow the hardware to also be adjusted to the problem.Acceleration of Biomedical Image Processing with Dataflow on FPGAs covers the transformation of image processing algorithms towards a system of deep pipelines that can be executed with very high parallelism. The transformation process is discussed from initial design decisions to working implementations. Two example applications from stochastic localization microscopy and electron tomography illustrate the approach further.Topics discussed in the book include:1. Reconfigurable hardware2. Dataflow computing3. Image processing4. Application acceleration.
