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As a part of the reproducibility initiative at the SC20 conference, students participating in the Student Cluster Competition where given the reproducibility challenge, which is a directed reproducibility exercise that reproduces a paper from the previous year’s conference. At SC20, the paper, MemXCT: memory-centric X-ray CT reconstruction with massive parallelization (https://doi.org/10.1145/3295500.3356220), from SC19 was used. In the directed exercise, students were asked to reproduce performance characteristics of the research on a variety of architectures. This file contains the experimental setup and outputs of their work from the reproducibility challenge. It also includes the direction that students were given to the students for the exercise. The students then published their reports as polished critiques of the reproducibility of the original paper along with a new revision of the original paper, titled MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging (https://doi.org/10.1109/TPDS.2021.3128032), in a Special Section of the IEEE Transactions on Parallel and Distributed Systems (TPDS). The paper along with the revised papers are available at https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=9696253&punumber=71.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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