A GPU optimization workflow for real-time execution of ultra-high frame rate computer vision applications Ghent University
This work proposes a GPU optimization methodology for real-time execution of ultra high frame rate applications with small frame sizes. While the use of GPUs for offline processing is well-established, real-time execution remains challenging due to the lack of real-time execution guarantees, especially for embedded GPUs. Our methodology introduces guidelines and a workfl ow by focusing on: (a) controlling latency by means of minimization of ...