Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The advent of GPGPU technologies has allod for sensible speed-ups in many high-dimension, memory-intensive computational problems.   demonstrate the effectiveness of such techniques by describing two applications of GPGPU computing to two different subfields of computer graphics, namely computer vision and mesh processing. In the first case, CUDA technology is employed to accelerate the computation of approximation of motion beten two images, known also as optical flow. As for mesh processing,  exploit the massivelyparallel architecture of CUDA devices to accelerate the face clustering procedure that is employed in many recent mesh segmentation algorithms. In both cases, the results obtained so far are presented and thoroughly discussed, along with the expected future development of the work.
['Stefano Marras', 'Claudio Mura', 'Enrico Gobbetti', 'Riccardo Scateni', 'Roberto Scopigno']
I am writing a research paper on a idea Two examples of GPGPU acceleration of memory-intensive algorithms
[{"from": "human", "value": "I am writing a research paper on a idea Two examples of GPGPU acceleration of memory-intensive algorithms"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The advent of GPGPU technologies has allod for sensible speed-ups in many high-dimension, memory-intensive computational problems.   demonstrate the effectiveness of such techniques by describing two applications of GPGPU computing to two different subfields of computer graphics, namely computer vision and mesh processing. In the first case, CUDA technology is employed to accelerate the computation of approximation of motion beten two images, known also as optical flow. As for mesh processing,  exploit the massivelyparallel architecture of CUDA devices to accelerate the face clustering procedure that is employed in many recent mesh segmentation algorithms. In both cases, the results obtained so far are presented and thoroughly discussed, along with the expected future development of the work."}]