Alon Rashelbach, Ori Rottenstreich, M. Silberstein
{"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}
引用次数: 0
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.