2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf 2022
DOI: 10.1109/dasc/picom/cbdcom/cy55231.2022.9927975
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mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations

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Cited by 16 publications
(2 citation statements)
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“…The experiments used Nvidia A100 GPU × 8 with 40 GB × 8 memory on a high-performance nationwide platform named "mdx," which accelerates Society 5.0 and can be operated by the University of Tokyo and eight other universities and two research institutes [52]. Considering the computational resources, we set the batchsize as 64 for each GPU and 100 epochs for each algorithm.…”
Section: B Classification Experimentsmentioning
confidence: 99%
“…The experiments used Nvidia A100 GPU × 8 with 40 GB × 8 memory on a high-performance nationwide platform named "mdx," which accelerates Society 5.0 and can be operated by the University of Tokyo and eight other universities and two research institutes [52]. Considering the computational resources, we set the batchsize as 64 for each GPU and 100 epochs for each algorithm.…”
Section: B Classification Experimentsmentioning
confidence: 99%
“…1 and Table 1, respectively. The computer resources and storage consisted of on-premise (System A), a supercomputer system at Kyoto University (System B: https:// www.iimc.kyoto-u.ac.jp/en/services/comp/supercomputer/), a supercomputer system at the University of Tokyo (System C: https://www.cc.utokyo.ac.jp/en/guide/hpc/obcx/), an academic cloud mdx (System D: https://mdx.jp/en/) 17 , and a public cloud, Amazon Web Services (AWS), in the region of Japan (System E). Systems A to E are connected via the Japanese academic network called the science information network (SINET: https://www.sinet.ad.jp/en) 18 .…”
Section: Hybrid Cloud Systemmentioning
confidence: 99%