{"title":"高性能数据系统","authors":"B. Collins","doi":"10.1109/MASS.1991.160202","DOIUrl":null,"url":null,"abstract":"It is noted that advances in massively parallel, large-memory computers and cooperative processing networks allow researchers to execute large-scale codes that generate massive amounts of data. Recent developments in high-speed networks allow large amounts of data to be transferred through a HiPPI (High Performance Parallel Interface) network in reasonable time frames. To support this high-performance computing environment, data storage, and data conversion capabilities must be provided to allow the massive amounts of data generated to be stored in a timely and reliable manner and to allow them to be retrieved easily for analysis and display.<<ETX>>","PeriodicalId":158477,"journal":{"name":"[1991] Digest of Papers Eleventh IEEE Symposium on Mass Storage Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"High-performance data systems\",\"authors\":\"B. Collins\",\"doi\":\"10.1109/MASS.1991.160202\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is noted that advances in massively parallel, large-memory computers and cooperative processing networks allow researchers to execute large-scale codes that generate massive amounts of data. Recent developments in high-speed networks allow large amounts of data to be transferred through a HiPPI (High Performance Parallel Interface) network in reasonable time frames. To support this high-performance computing environment, data storage, and data conversion capabilities must be provided to allow the massive amounts of data generated to be stored in a timely and reliable manner and to allow them to be retrieved easily for analysis and display.<<ETX>>\",\"PeriodicalId\":158477,\"journal\":{\"name\":\"[1991] Digest of Papers Eleventh IEEE Symposium on Mass Storage Systems\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991] Digest of Papers Eleventh IEEE Symposium on Mass Storage Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MASS.1991.160202\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Digest of Papers Eleventh IEEE Symposium on Mass Storage Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASS.1991.160202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
It is noted that advances in massively parallel, large-memory computers and cooperative processing networks allow researchers to execute large-scale codes that generate massive amounts of data. Recent developments in high-speed networks allow large amounts of data to be transferred through a HiPPI (High Performance Parallel Interface) network in reasonable time frames. To support this high-performance computing environment, data storage, and data conversion capabilities must be provided to allow the massive amounts of data generated to be stored in a timely and reliable manner and to allow them to be retrieved easily for analysis and display.<>
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