Hybrid CPU-GPU Acceleration of a Multithreaded Image Stitching Algorithm
Hybrid CPU-GPU Acceleration of a Multithreaded Image Stitching Algorithm
Real-time image stitching is critical, especially in un-manned aerial vehicles, and its acceleration has received attention in recent years. This paper describes an image stitching acceleration scheme for heterogeneous (CPU+GPU) devices. Acceleration is attempted with both multithreading and multiprocessing. Most time-critical functions in the algorithm are offloaded on to the GPU. We crafted a 3-buffer ping-pong mechanism for synchro-nization and data transfer among threads/processes in order to maximize CPU utilization. We carried out our experiments on Nvidia Jetson AGX Xavier. Results show that more than 3x acceleration is achieved.
TÜBİTAK
- Istanbul Medipol University Turkey
- Özyeğin University Turkey
Image stitching, CPU-GPU, Real-time image processing, Multithreading, Image Stitching, Real-Time Image Processing
Image stitching, CPU-GPU, Real-time image processing, Multithreading, Image Stitching, Real-Time Image Processing
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