Acceleration of Biomedical Image Processing with Dataflow on FPGAs
eBook - ePub

Acceleration of Biomedical Image Processing with Dataflow on FPGAs

  1. 230 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Acceleration of Biomedical Image Processing with Dataflow on FPGAs

About this book

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: • Reconfigurable hardware• Dataflow computing• Image processing• Application acceleration

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Yes, you can access Acceleration of Biomedical Image Processing with Dataflow on FPGAs by Frederik Grüll,Udo Kebschull in PDF and/or ePUB format, as well as other popular books in Naturwissenschaften & Elektrotechnik & Telekommunikation. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Foreword
  8. Preface
  9. Acknowledgments
  10. List of Figures
  11. List of Tables
  12. List of Listings
  13. List of Abbreviations
  14. 1 Introduction
  15. 2 Dataflow Computing
  16. 3 Acceleration of Imperative Code with Dataflow Computing
  17. 4 Biomedical Image Processing and Reconstruction
  18. 5 Conclusion
  19. References
  20. Index
  21. About the Authors