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Volume: 28 | Article ID: art00001
Real-time Machine Vision with GPU-acceleration using Quasar
  DOI :  10.2352/ISSN.2470-1173.2016.14.IPMVA-375  Published OnlineFebruary 2016

The computational performance of graphical processing units (GPUs) has improved significantly, achieving even speed-up factors of 10x-50x compared to single-threaded CPU execution are not uncommon. This makes their use for high throughput machine vision very appealing. However, GPU programming is challenging, requiring a significant programming expertise. We present a new programming framework that mitigates the challenges common for GPU programming while maintaining the significant acceleration.

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Jonas De Vylder, Simon Donné, Dirk Van Haerenborgh, Bart Goossens, "Real-time Machine Vision with GPU-acceleration using Quasarin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Machine Vision Applications IX,  2016,

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