Heterogeneous Processing for Computational Imaging

Kari Pulli

doi:10.1364/COSI.2016.CTh3B.2

Imaging and Applied Optics 2016
OSA Technical Digest (online) (Optica Publishing Group, 2016),
paper CTh3B.2
•https://doi.org/10.1364/COSI.2016.CTh3B.2

Heterogeneous Processing for Computational Imaging

Kari Pulli

Computational Optical Sensing and Imaging 2016

Heidelberg Germany
25–28 July 2016
ISBN: 978-1-943580-15-6

From the session
Industry Perspectives (CTh3B)

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K. Pulli, "Heterogeneous Processing for Computational Imaging," in Imaging and Applied Optics 2016, OSA Technical Digest (online) (Optica Publishing Group, 2016), paper CTh3B.2.

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Abstract

Modern systems-on-a-chip (SoC) have many different types of processors that could be used in computational imaging. Unfortunately, they all have different programming models, and are thus difficult to optimize as a system. In this talk we discuss the suitability of two emerging standards, OpenCL and OpenVX for accelerating processing for computational imaging.

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