{"title":"IBM z13上的四精度浮点","authors":"C. Lichtenau, S. Carlough, S. M. Müller","doi":"10.1109/ARITH.2016.26","DOIUrl":null,"url":null,"abstract":"When operating on a rapidly increasing amount of data, business analytics applications become sensitive to rounding errors, and profit from the higher stability and faster convergence of quad precision floating-point (FP-QP) arithmetic. The IBM z13TM supports this emerging trend around Big Data with an outstanding FP-QP performance. The paper details the vector and floating-point unit of IBM z13TM, with special focus on binary FP-QP. Except for divide and square root, these instructions are executed in the decimal engine. To operate such an 8-cycle decimal and quad precision pipeline at 5GHz required innovation around exponent handling, normalization, and rounding.","PeriodicalId":145448,"journal":{"name":"2016 IEEE 23nd Symposium on Computer Arithmetic (ARITH)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Quad Precision Floating Point on the IBM z13\",\"authors\":\"C. Lichtenau, S. Carlough, S. M. Müller\",\"doi\":\"10.1109/ARITH.2016.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When operating on a rapidly increasing amount of data, business analytics applications become sensitive to rounding errors, and profit from the higher stability and faster convergence of quad precision floating-point (FP-QP) arithmetic. The IBM z13TM supports this emerging trend around Big Data with an outstanding FP-QP performance. The paper details the vector and floating-point unit of IBM z13TM, with special focus on binary FP-QP. Except for divide and square root, these instructions are executed in the decimal engine. To operate such an 8-cycle decimal and quad precision pipeline at 5GHz required innovation around exponent handling, normalization, and rounding.\",\"PeriodicalId\":145448,\"journal\":{\"name\":\"2016 IEEE 23nd Symposium on Computer Arithmetic (ARITH)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 23nd Symposium on Computer Arithmetic (ARITH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARITH.2016.26\",\"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 23nd Symposium on Computer Arithmetic (ARITH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARITH.2016.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
When operating on a rapidly increasing amount of data, business analytics applications become sensitive to rounding errors, and profit from the higher stability and faster convergence of quad precision floating-point (FP-QP) arithmetic. The IBM z13TM supports this emerging trend around Big Data with an outstanding FP-QP performance. The paper details the vector and floating-point unit of IBM z13TM, with special focus on binary FP-QP. Except for divide and square root, these instructions are executed in the decimal engine. To operate such an 8-cycle decimal and quad precision pipeline at 5GHz required innovation around exponent handling, normalization, and rounding.