{"title":"芯片多处理器的并行缓冲器","authors":"J. Cieslewicz, K. A. Ross, Ioannis Giannakakis","doi":"10.1145/1363189.1363192","DOIUrl":null,"url":null,"abstract":"Chip multiprocessors (CMPs) present new opportunities for improving database performance on large queries. Because CMPs often share execution, cache, or bandwidth resources among many hardware threads, implementing parallel database operators that efficiently share these resources is key to maximizing performance. A crucial aspect of this parallelism is managing concurrent, shared input and output to the parallel operators. In this paper we propose and evaluate a parallel buffer that enables intra-operator parallelism on CMPs by avoiding contention between hardware threads that need to concurrently read or write to the same buffer. The parallel buffer handles parallel input and output coordination as well as load balancing so individual operators do not need to reimplement that functionality.","PeriodicalId":298901,"journal":{"name":"International Workshop on Data Management on New Hardware","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Parallel buffers for chip multiprocessors\",\"authors\":\"J. Cieslewicz, K. A. Ross, Ioannis Giannakakis\",\"doi\":\"10.1145/1363189.1363192\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Chip multiprocessors (CMPs) present new opportunities for improving database performance on large queries. Because CMPs often share execution, cache, or bandwidth resources among many hardware threads, implementing parallel database operators that efficiently share these resources is key to maximizing performance. A crucial aspect of this parallelism is managing concurrent, shared input and output to the parallel operators. In this paper we propose and evaluate a parallel buffer that enables intra-operator parallelism on CMPs by avoiding contention between hardware threads that need to concurrently read or write to the same buffer. The parallel buffer handles parallel input and output coordination as well as load balancing so individual operators do not need to reimplement that functionality.\",\"PeriodicalId\":298901,\"journal\":{\"name\":\"International Workshop on Data Management on New Hardware\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Workshop on Data Management on New Hardware\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1363189.1363192\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Data Management on New Hardware","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1363189.1363192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chip multiprocessors (CMPs) present new opportunities for improving database performance on large queries. Because CMPs often share execution, cache, or bandwidth resources among many hardware threads, implementing parallel database operators that efficiently share these resources is key to maximizing performance. A crucial aspect of this parallelism is managing concurrent, shared input and output to the parallel operators. In this paper we propose and evaluate a parallel buffer that enables intra-operator parallelism on CMPs by avoiding contention between hardware threads that need to concurrently read or write to the same buffer. The parallel buffer handles parallel input and output coordination as well as load balancing so individual operators do not need to reimplement that functionality.