Biplob K. Debnath, Alireza Haghdoost, Asim Kadav, Mohammed G. Khatib, C. Ungureanu
{"title":"重新审视相变存储器的哈希表设计","authors":"Biplob K. Debnath, Alireza Haghdoost, Asim Kadav, Mohammed G. Khatib, C. Ungureanu","doi":"10.1145/2883591.2883597","DOIUrl":null,"url":null,"abstract":"Phase Change Memory (PCM) is emerging as an attractive alternative to Dynamic Random Access Memory (DRAM) in building data-intensive computing systems. PCM offers read/write performance asymmetry that makes it necessary to revisit the design of in-memory applications. In this paper, we focus on in-memory hash tables, a family of data structures with wide applicability. We evaluate several popular hash-table designs to understand their performance under PCM. We find that for write-heavy workloads the designs that achieve best performance for PCMdiffer from the ones that are best for DRAM, and that designs achieving a high load factor also cause a high number of memory writes. Finally, we propose PFHT, a PCM-Friendly Hash Table which presents a cuckoo hashing variant that is tailored to PCM characteristics, and offers a better trade-off between performance, the amount of writes generated, and the expected load factor than any of the existing DRAMbased implementations.","PeriodicalId":7046,"journal":{"name":"ACM SIGOPS Oper. Syst. Rev.","volume":"10 1","pages":"18-26"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"55","resultStr":"{\"title\":\"Revisiting Hash Table Design for Phase Change Memory\",\"authors\":\"Biplob K. Debnath, Alireza Haghdoost, Asim Kadav, Mohammed G. Khatib, C. Ungureanu\",\"doi\":\"10.1145/2883591.2883597\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Phase Change Memory (PCM) is emerging as an attractive alternative to Dynamic Random Access Memory (DRAM) in building data-intensive computing systems. PCM offers read/write performance asymmetry that makes it necessary to revisit the design of in-memory applications. In this paper, we focus on in-memory hash tables, a family of data structures with wide applicability. We evaluate several popular hash-table designs to understand their performance under PCM. We find that for write-heavy workloads the designs that achieve best performance for PCMdiffer from the ones that are best for DRAM, and that designs achieving a high load factor also cause a high number of memory writes. Finally, we propose PFHT, a PCM-Friendly Hash Table which presents a cuckoo hashing variant that is tailored to PCM characteristics, and offers a better trade-off between performance, the amount of writes generated, and the expected load factor than any of the existing DRAMbased implementations.\",\"PeriodicalId\":7046,\"journal\":{\"name\":\"ACM SIGOPS Oper. Syst. Rev.\",\"volume\":\"10 1\",\"pages\":\"18-26\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"55\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGOPS Oper. Syst. Rev.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2883591.2883597\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGOPS Oper. Syst. Rev.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2883591.2883597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Revisiting Hash Table Design for Phase Change Memory
Phase Change Memory (PCM) is emerging as an attractive alternative to Dynamic Random Access Memory (DRAM) in building data-intensive computing systems. PCM offers read/write performance asymmetry that makes it necessary to revisit the design of in-memory applications. In this paper, we focus on in-memory hash tables, a family of data structures with wide applicability. We evaluate several popular hash-table designs to understand their performance under PCM. We find that for write-heavy workloads the designs that achieve best performance for PCMdiffer from the ones that are best for DRAM, and that designs achieving a high load factor also cause a high number of memory writes. Finally, we propose PFHT, a PCM-Friendly Hash Table which presents a cuckoo hashing variant that is tailored to PCM characteristics, and offers a better trade-off between performance, the amount of writes generated, and the expected load factor than any of the existing DRAMbased implementations.