Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Clemson University.

This article reproduces the results of the Supercomputing 2019 article, MemXCT: Memory-Centric X-ray CT Reconstruction with Massive Parallelization by Hidayetoğlu et al. as part of the Supercomputing 2020 Student Cluster Competition Reproducibility Challenge. We reproduce the single CPU-GPU performance experiments and the strong scaling experiments and compare the results to the original article. Although we are not able to use the exact HPC system from the original article, we use similar hardware and configurations to recreate the original environment in Microsoft Azure Cloud services. We were not able to demonstrate exact performance characteristics from the original article due to hardware limitations in our environment, but we are able to reproduce similar performance trends for both single-node and scaling experiments. [ABSTRACT FROM AUTHOR]