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
Link To Document :
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