Evaluation of the Feasibility of Making Large-Scale X-Ray Tomography Reconstructions on Clouds

This work focuses on the evaluation of the suitability of Mangoose++, a medical image application for reconstruction of 3D volumes, by means of Cloud Computing. Due to the increasing resolution of panel detectors in computed tomography and the need of lower execution times, the use of parallel implementations for clusters and accelerators have been generalized. Anyhow, the renewal and maintenance of hardware is expensive which makes Cloud Computing a valuable alternative. In our evaluation, we analyze and discuss the costs and efficiency of the Mangosee++ application over Amazon EC2 platform, demonstrating that lower times can be achieved in a reasonable price compared with owned HPC-based hardware. We also provide a comparison between distinct hardware configurations so that we can infer the advantages and disadvantages of each one.