Faber: A Hardware/SoftWare Toolchain for Image Registration

نویسندگان

چکیده

Image registration is a well-defined computation paradigm widely applied to align one or more images target image. This paradigm, which builds upon three main components, particularly compute-intensive and represents many image processing pipelines’ bottlenecks. State-of-the-art solutions leverage hardware acceleration speed up registration, but they are usually limited implementing single component. We present Faber, an open-source HW/SW CAD toolchain tailored registration. The Faber comprises highly-tunable supports users with different expertise in building custom pipelines, automates the design process. In this direction, provides both default settings for entry-level latency resource models guide HW experts customizing components. Finally, achieves from 1.5× 54× speedup 2× 177× energy efficiency against state-of-the-art tools on Xeon Gold.

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ژورنال

عنوان ژورنال: IEEE Transactions on Parallel and Distributed Systems

سال: 2023

ISSN: ['1045-9219', '1558-2183', '2161-9883']

DOI: https://doi.org/10.1109/tpds.2022.3218898