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With the increase of resolution in medical image scanners and the need of faster reconstruction methods, new ways of exploiting the inherent parallelism of reconstruction algorithms have arisen. In this paper, we present Mangoose++, an application to perform X‐ray computed tomography that supports multiple grades of parallelism. This parallelism is tackled with two different approaches: the usage of parallel nodes with multicore CPUs in a cloud environment and the usage of high‐performance computing (HPC)‐based parallel architectures such as general‐purpose computing on graphics processing unit (GPGPU) or Intel Xeon Phi. In this paper, we show the design and implementation of the application in three types of platforms related to the previous mentioned approaches, comparing and analyzing the performance, resource utilization, and scalability of each platform. Accelerators offer high performance for …