Acceleration of Biomedical Image Processing with Dataflow on FPGAs

by Frederik Grüll, Udo Kebschull

Overview

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

Product Details

ISBN-13:	9781000792317
Publisher:	River Publishers
Publication date:	09/01/2022
Sold by:	Barnes & Noble
Format:	eBook
Pages:	230
File size:	3 MB

About the Author

Frederik Grüll, Udo Kebschull

Table of Contents

1 Introduction 2 Dataflow Computing 3 Acceleration of Imperative Code with Dataflow Computing 4 Biomedical Image Processing and Reconstruction 5 Conclusion