面向大规模网络科学的并行图处理系统的概念

M. Chernoskutov
{"title":"面向大规模网络科学的并行图处理系统的概念","authors":"M. Chernoskutov","doi":"10.1109/SIBIRCON.2017.8109872","DOIUrl":null,"url":null,"abstract":"The paper describes the concept of parallel graph processing system, which allows to develop architecture independent applications for processing large graphs. Also, the system allows the user to abstract from the implementation details of the graph storage format. This system can be used in such fast growing research fields as network science.","PeriodicalId":135870,"journal":{"name":"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Concept of parallel graph processing system for large-scale network science\",\"authors\":\"M. Chernoskutov\",\"doi\":\"10.1109/SIBIRCON.2017.8109872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes the concept of parallel graph processing system, which allows to develop architecture independent applications for processing large graphs. Also, the system allows the user to abstract from the implementation details of the graph storage format. This system can be used in such fast growing research fields as network science.\",\"PeriodicalId\":135870,\"journal\":{\"name\":\"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBIRCON.2017.8109872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBIRCON.2017.8109872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文描述了并行图处理系统的概念,它允许开发架构独立的应用程序来处理大型图。此外,系统还允许用户对图形存储格式的实现细节进行抽象。该系统可用于网络科学等快速发展的研究领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concept of parallel graph processing system for large-scale network science
The paper describes the concept of parallel graph processing system, which allows to develop architecture independent applications for processing large graphs. Also, the system allows the user to abstract from the implementation details of the graph storage format. This system can be used in such fast growing research fields as network science.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信