{"title":"分析应用的未来方向","authors":"E. Baranoski","doi":"10.1145/2567634.2567645","DOIUrl":null,"url":null,"abstract":"Analytic applications to tackle the \"big data\" problem are pervasive in all fields. The breadth and utility of these applications are growing far faster than the rate of Moore's Law, and are particularly stressing the electrical power to host such applications. This talk will sample some of the analytical research programs being performed at IARPA, as well as some thoughts on future processor implications to support these applications.","PeriodicalId":379963,"journal":{"name":"PPAA '14","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Future directions in analytic applications\",\"authors\":\"E. Baranoski\",\"doi\":\"10.1145/2567634.2567645\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analytic applications to tackle the \\\"big data\\\" problem are pervasive in all fields. The breadth and utility of these applications are growing far faster than the rate of Moore's Law, and are particularly stressing the electrical power to host such applications. This talk will sample some of the analytical research programs being performed at IARPA, as well as some thoughts on future processor implications to support these applications.\",\"PeriodicalId\":379963,\"journal\":{\"name\":\"PPAA '14\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PPAA '14\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2567634.2567645\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PPAA '14","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2567634.2567645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analytic applications to tackle the "big data" problem are pervasive in all fields. The breadth and utility of these applications are growing far faster than the rate of Moore's Law, and are particularly stressing the electrical power to host such applications. This talk will sample some of the analytical research programs being performed at IARPA, as well as some thoughts on future processor implications to support these applications.
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