Real-time computation of parameter fitting and image reconstruction using graphical processing units

During this work, we focused on single GPU systems to show that real time data analysis of these problems can be achieved without the need for large computing clusters. The results show that the currently used application for parameter fitting, which uses OpenMP to parallelize calculations over multiple CPU cores, can be accelerated around 40 times through the use of a GPU. The speedup may vary depending on the size and complexity of the problem. For PET image analysis, the obtained speedups of the GPU version were more than ×40 larger compared to a single core CPU implementation. The achieved results show that it is possible to improve the execution time by orders of magnitude.