xDCI, a data science cyberinfrastructure for interdisciplinary research

A. Krishnamurthy, K. Bradford, Chris Calloway, C. Castillo, Mike C. Conway, Jason Coposky, Yue Guo, R. Idaszak, W. Lenhardt, K. Robasky, Terrell G. Russell, Erik Scott, Marcin Sliwowski, M. Stealey, Kelsey Urgo, Hao Xu, H. Yi, S. Ahalt
{"title":"xDCI, a data science cyberinfrastructure for interdisciplinary research","authors":"A. Krishnamurthy, K. Bradford, Chris Calloway, C. Castillo, Mike C. Conway, Jason Coposky, Yue Guo, R. Idaszak, W. Lenhardt, K. Robasky, Terrell G. Russell, Erik Scott, Marcin Sliwowski, M. Stealey, Kelsey Urgo, Hao Xu, H. Yi, S. Ahalt","doi":"10.1109/HPEC.2017.8091022","DOIUrl":null,"url":null,"abstract":"This paper introduces xDCI, a Data Science Cyber-infrastructure to support research in a number of scientific domains including genomics, environmental science, biomedical and health science, and social science. xDCI leverages open-source software packages such as the integrated Rule Oriented Data System and the CyVerse Discovery Environment to address significant challenges in data storage, sharing, analysis and visualization. We provide three example applications to evaluate xDCI for different domains: analysis of 3D images of mice brains, videos analysis of neonatal resuscitation, and risk analytics. Finally, we conclude with a discussion of potential improvements to xDCI.","PeriodicalId":364903,"journal":{"name":"2017 IEEE High Performance Extreme Computing Conference (HPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE High Performance Extreme Computing Conference (HPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPEC.2017.8091022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper introduces xDCI, a Data Science Cyber-infrastructure to support research in a number of scientific domains including genomics, environmental science, biomedical and health science, and social science. xDCI leverages open-source software packages such as the integrated Rule Oriented Data System and the CyVerse Discovery Environment to address significant challenges in data storage, sharing, analysis and visualization. We provide three example applications to evaluate xDCI for different domains: analysis of 3D images of mice brains, videos analysis of neonatal resuscitation, and risk analytics. Finally, we conclude with a discussion of potential improvements to xDCI.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
xDCI,用于跨学科研究的数据科学网络基础设施
本文介绍了xDCI,一种数据科学网络基础设施,用于支持许多科学领域的研究,包括基因组学、环境科学、生物医学和健康科学以及社会科学。xDCI利用开源软件包,如集成的面向规则的数据系统和CyVerse发现环境,来解决数据存储、共享、分析和可视化方面的重大挑战。我们提供了三个例子来评估xDCI在不同领域的应用:小鼠大脑3D图像分析、新生儿复苏视频分析和风险分析。最后,我们将讨论xDCI的潜在改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Optimized task graph mapping on a many-core neuromorphic supercomputer Software-defined extreme scale networks for bigdata applications Power-aware computing: Measurement, control, and performance analysis for Intel Xeon Phi xDCI, a data science cyberinfrastructure for interdisciplinary research Leakage energy reduction for hard real-time caches
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1