{"title":"SDA:通用大数据分析系统的软件定义加速器","authors":"Jian Ouyang, Wei Qi, Yong Wang, YichenTu, Jing Wang, Bowen Jia","doi":"10.1109/HOTCHIPS.2016.7936221","DOIUrl":null,"url":null,"abstract":"•Present general-purpose big data accelerator -Design for general-purpose big data analysis system, such as SparkSQL, HIVE -Abstract SQL operations -Propose the SDA hardware and software architecture -Implement SDA hardware by FPGA •SDA is also designed for distributed system -Data flow program model -Resource on-demand •Demonstrate the feasibility of SDA for big data and AI -SDA for AI on Hotchips2014","PeriodicalId":363333,"journal":{"name":"2016 IEEE Hot Chips 28 Symposium (HCS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"SDA: Software-Defined Accelerator for general-purpose big data analysis system\",\"authors\":\"Jian Ouyang, Wei Qi, Yong Wang, YichenTu, Jing Wang, Bowen Jia\",\"doi\":\"10.1109/HOTCHIPS.2016.7936221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"•Present general-purpose big data accelerator -Design for general-purpose big data analysis system, such as SparkSQL, HIVE -Abstract SQL operations -Propose the SDA hardware and software architecture -Implement SDA hardware by FPGA •SDA is also designed for distributed system -Data flow program model -Resource on-demand •Demonstrate the feasibility of SDA for big data and AI -SDA for AI on Hotchips2014\",\"PeriodicalId\":363333,\"journal\":{\"name\":\"2016 IEEE Hot Chips 28 Symposium (HCS)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Hot Chips 28 Symposium (HCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HOTCHIPS.2016.7936221\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Hot Chips 28 Symposium (HCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HOTCHIPS.2016.7936221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SDA: Software-Defined Accelerator for general-purpose big data analysis system
•Present general-purpose big data accelerator -Design for general-purpose big data analysis system, such as SparkSQL, HIVE -Abstract SQL operations -Propose the SDA hardware and software architecture -Implement SDA hardware by FPGA •SDA is also designed for distributed system -Data flow program model -Resource on-demand •Demonstrate the feasibility of SDA for big data and AI -SDA for AI on Hotchips2014