DocumentCode
3383971
Title
Floating-point division and square root implementation using a Taylor-series expansion algorithm
Author
Kwon, Taek-Jun ; Sondeen, Jeff ; Draper, Jeff
Author_Institution
Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, CA
fYear
2008
fDate
Aug. 31 2008-Sept. 3 2008
Firstpage
702
Lastpage
705
Abstract
Hardware support for floating-point (FP) arithmetic is an essential feature of modern microprocessor design. Although division and square root are relatively infrequent operations in traditional general-purpose applications, they are indispensable and becoming increasingly important in many modern applications. In this paper, a fused floating-point multiply/divide/square root unit based on Taylor-series expansion algorithm is presented. The implementation results of the proposed fused unit based on standard cell methodology in IBM 90 nm technology exhibits that the incorporation of square root function to an existing multiply/divide unit requires only a modest 23% area increase and the same low latency for divide and square root operation can be achieved (12 cycles). The proposed arithmetic unit also exhibits a reasonably good area-performance balance.
Keywords
VLSI; floating point arithmetic; series (mathematics); Taylor-series expansion algorithm; VLSI; arithmetic unit; floating-point division; square root implementation; standard cell methodology; Algorithm design and analysis; Application software; Concurrent computing; Delay; Embedded computing; Floating-point arithmetic; Frequency; Hardware; Iterative algorithms; Microprocessors;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2008. ICECS 2008. 15th IEEE International Conference on
Conference_Location
St. Julien´s
Print_ISBN
978-1-4244-2181-7
Electronic_ISBN
978-1-4244-2182-4
Type
conf
DOI
10.1109/ICECS.2008.4674950
Filename
4674950
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