Herbert Jordan, Pavle Subotic, David Zhao, B. Scholz
{"title":"布里干酪","authors":"Herbert Jordan, Pavle Subotic, David Zhao, B. Scholz","doi":"10.1145/3303084.3309490","DOIUrl":null,"url":null,"abstract":"Modern Datalog engines are employed in industrial applications such as graph databases, networks, and static program analysis. To cope with the vast amount of data in these applications, Datalog engines must employ specialized parallel data structures. In this paper, we introduce the Brie, a specialized data structure for high-density relations storing large data volumes. It effectively compresses dense data in a lock-free fashion and obtains up to 15× higher performance in parallel insertion benchmarks compared to state-of-the-art alternatives. Furthermore, when integrated into a Datalog engine running an industrial points-to analysis, runtime improves by a factor of 4× with a compression ratio of up to 3.6× are obtained.","PeriodicalId":198627,"journal":{"name":"Proceedings of the 10th International Workshop on Programming Models and Applications for Multicores and Manycores - PMAM'19","volume":"225 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Brie\",\"authors\":\"Herbert Jordan, Pavle Subotic, David Zhao, B. Scholz\",\"doi\":\"10.1145/3303084.3309490\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern Datalog engines are employed in industrial applications such as graph databases, networks, and static program analysis. To cope with the vast amount of data in these applications, Datalog engines must employ specialized parallel data structures. In this paper, we introduce the Brie, a specialized data structure for high-density relations storing large data volumes. It effectively compresses dense data in a lock-free fashion and obtains up to 15× higher performance in parallel insertion benchmarks compared to state-of-the-art alternatives. Furthermore, when integrated into a Datalog engine running an industrial points-to analysis, runtime improves by a factor of 4× with a compression ratio of up to 3.6× are obtained.\",\"PeriodicalId\":198627,\"journal\":{\"name\":\"Proceedings of the 10th International Workshop on Programming Models and Applications for Multicores and Manycores - PMAM'19\",\"volume\":\"225 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 10th International Workshop on Programming Models and Applications for Multicores and Manycores - PMAM'19\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3303084.3309490\",\"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 10th International Workshop on Programming Models and Applications for Multicores and Manycores - PMAM'19","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3303084.3309490","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modern Datalog engines are employed in industrial applications such as graph databases, networks, and static program analysis. To cope with the vast amount of data in these applications, Datalog engines must employ specialized parallel data structures. In this paper, we introduce the Brie, a specialized data structure for high-density relations storing large data volumes. It effectively compresses dense data in a lock-free fashion and obtains up to 15× higher performance in parallel insertion benchmarks compared to state-of-the-art alternatives. Furthermore, when integrated into a Datalog engine running an industrial points-to analysis, runtime improves by a factor of 4× with a compression ratio of up to 3.6× are obtained.