Critique of 'MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization' by SCC Team From Peking University

Autor:	Fangyuan Yang, Yuxuan Yan, Zhewen Hao, Yueyang Pan, Pengcheng Xu, Yuchen Gu, Zejia Fan, Zhenxin Fu, Yun Liang
Rok vydání:	2022
Předmět:	Digital artifact business.industry Computer science Computation Cloud computing Parallel computing Computational Theory and Mathematics Hardware and Architecture Signal Processing Scalability Cluster (physics) Overall performance business Ct reconstruction
Zdroj:	IEEE Transactions on Parallel and Distributed Systems. 33:2032-2034
ISSN:	2161-9883 1045-9219
DOI:	10.1109/tpds.2021.3092273
Popis:	Hidayetolu et al. (2019) proposed a novel memory-centric computation system, MemXCT. As a challenge at SC20, we reproduce the computational efficiency of MemXCT on our Azure cloud cluster. Our experiments evaluate the overall performance and the strong scalability with real datasets and verify part of the conclusions in the original paper. Digital artifacts from these experiments are available at: 10.5281/zenodo.5598108.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9d546582f3854a86e7ccdeb539992856 https://doi.org/10.1109/tpds.2021.3092273 Zobrazit plný text záznamu