Alon Rashelbach, Ori Rottenstreich, M. Silberstein
{"title":"计算机系统的神经网络","authors":"Alon Rashelbach, Ori Rottenstreich, M. Silberstein","doi":"10.1145/3579370.3594755","DOIUrl":null,"url":null,"abstract":"We present the Range Query Recursive Model Index (RQRMI) data structure that trades memory accesses for computations in performance-critical systems that employ Range Matching.","PeriodicalId":180024,"journal":{"name":"Proceedings of the 16th ACM International Conference on Systems and Storage","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neural Networks for Computer Systems\",\"authors\":\"Alon Rashelbach, Ori Rottenstreich, M. Silberstein\",\"doi\":\"10.1145/3579370.3594755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present the Range Query Recursive Model Index (RQRMI) data structure that trades memory accesses for computations in performance-critical systems that employ Range Matching.\",\"PeriodicalId\":180024,\"journal\":{\"name\":\"Proceedings of the 16th ACM International Conference on Systems and Storage\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 16th ACM International Conference on Systems and Storage\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3579370.3594755\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th ACM International Conference on Systems and Storage","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3579370.3594755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present the Range Query Recursive Model Index (RQRMI) data structure that trades memory accesses for computations in performance-critical systems that employ Range Matching.