{"title":"扫描算法的比较","authors":"C. G. van den Berg, M. Kersten, K. Blom","doi":"10.1109/PARBSE.1990.77226","DOIUrl":null,"url":null,"abstract":"Three implementation techniques for main memory database systems are described and compared, namely, the compilation, vectorization, and adaptive methods. The adaptive method can be combined with the standard, compilation, and vectorization methods. Experiments show that, with standard optimization techniques like vectorization and compilation, a performance increase of a factor of five can be obtained. The adaptive method turned out to be favorable only in combination with the vectorization and compilation approach. Experience with applying these techniques indicates that the performance increase is well worth the added implementation effort for both the compilation and vectorization approach.<<ETX>>","PeriodicalId":389644,"journal":{"name":"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A comparison of scanning algorithms\",\"authors\":\"C. G. van den Berg, M. Kersten, K. Blom\",\"doi\":\"10.1109/PARBSE.1990.77226\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Three implementation techniques for main memory database systems are described and compared, namely, the compilation, vectorization, and adaptive methods. The adaptive method can be combined with the standard, compilation, and vectorization methods. Experiments show that, with standard optimization techniques like vectorization and compilation, a performance increase of a factor of five can be obtained. The adaptive method turned out to be favorable only in combination with the vectorization and compilation approach. Experience with applying these techniques indicates that the performance increase is well worth the added implementation effort for both the compilation and vectorization approach.<<ETX>>\",\"PeriodicalId\":389644,\"journal\":{\"name\":\"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications\",\"volume\":\"93 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PARBSE.1990.77226\",\"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. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PARBSE.1990.77226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Three implementation techniques for main memory database systems are described and compared, namely, the compilation, vectorization, and adaptive methods. The adaptive method can be combined with the standard, compilation, and vectorization methods. Experiments show that, with standard optimization techniques like vectorization and compilation, a performance increase of a factor of five can be obtained. The adaptive method turned out to be favorable only in combination with the vectorization and compilation approach. Experience with applying these techniques indicates that the performance increase is well worth the added implementation effort for both the compilation and vectorization approach.<>