{"title":"GalOP","authors":"Nils Boeschen, Carsten Binnig","doi":"10.1145/3465998.3466007","DOIUrl":null,"url":null,"abstract":"In this paper, we present GalOP --- a GPU-accelerated main memory DBMS for OLTP. At the core GalOP is based on a novel deterministic concurrency scheme for GPUs which orders conflicting transactions before the execution on the GPU. In our initial evaluation, we show that GalOP can provide robust performance for high and low conflict scenarios and outperforms recent CPU-based schemes by up to 10x.","PeriodicalId":382224,"journal":{"name":"Proceedings of the 17th International Workshop on Data Management on New Hardware (DaMoN 2021)","volume":"207 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 17th International Workshop on Data Management on New Hardware (DaMoN 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3465998.3466007","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
In this paper, we present GalOP --- a GPU-accelerated main memory DBMS for OLTP. At the core GalOP is based on a novel deterministic concurrency scheme for GPUs which orders conflicting transactions before the execution on the GPU. In our initial evaluation, we show that GalOP can provide robust performance for high and low conflict scenarios and outperforms recent CPU-based schemes by up to 10x.