Jongwook Sohn, David K. Dean, Eric E. Quintana, Wing Shek Wong
{"title":"Enhanced Floating-Point Adder with Full Denormal Support","authors":"Jongwook Sohn, David K. Dean, Eric E. Quintana, Wing Shek Wong","doi":"10.1109/ARITH54963.2022.00015","DOIUrl":null,"url":null,"abstract":"This paper presents an enhanced floating-point adder (FADD) design for the Intel E-Core processor. Floating-point addition and subtraction are two of the most widely used operations in many applications. The proposed FADD is executed in 2 cycles, fully pipelined, handles SSE/AVX operations for scalar/packed IEEE single and double precision, and supports all four rounding modes. Also, the proposed FADD fully supports both denormal inputs and underflow outputs without microcode assistance. To achieve the 2-cycle FADD with full denormal support, several optimization techniques are applied: split path algorithm, early alignment and sticky logic, parallel addition, rounding and all-ones detection, and modified leading zero anticipation (LZA) for masking the underflow. As a result, the proposed FADD achieved not only full denormal support but also about 12.5% reduced latency compared to the traditional FADD designs.","PeriodicalId":268661,"journal":{"name":"2022 IEEE 29th Symposium on Computer Arithmetic (ARITH)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 29th Symposium on Computer Arithmetic (ARITH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARITH54963.2022.00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents an enhanced floating-point adder (FADD) design for the Intel E-Core processor. Floating-point addition and subtraction are two of the most widely used operations in many applications. The proposed FADD is executed in 2 cycles, fully pipelined, handles SSE/AVX operations for scalar/packed IEEE single and double precision, and supports all four rounding modes. Also, the proposed FADD fully supports both denormal inputs and underflow outputs without microcode assistance. To achieve the 2-cycle FADD with full denormal support, several optimization techniques are applied: split path algorithm, early alignment and sticky logic, parallel addition, rounding and all-ones detection, and modified leading zero anticipation (LZA) for masking the underflow. As a result, the proposed FADD achieved not only full denormal support but also about 12.5% reduced latency compared to the traditional FADD designs.